Logistics

Applied Researcher I

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Sr. Distinguished AI Engineer

Sr. Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content

Director, Product Management, Developer Experience - Deployment Experiences & Release Decisioning

Director, Product Management, Developer Experience - Deployment Experiences & Release Decisioning Director, Product Management (PXDP60) Capital One is a high-tech company, a scientific laboratory, and a nationally recognized brand all in one reaching tens of millions of consumers. We are a passionate and entrepreneurial team embracing bold ideas, fostering collaboration and delivering great experiences for our customers. Delivery Experience (DE) is at the heart of our approach. Delivery Experience delivers enterprise capabilities and a common developer experience enabling Capital One to thrive in the cloud. To scale our efforts in this space, we are building a world class CI/CD platform for deploying applications to the cloud that run critical business functions like mobile and online experiences for Capital One customers. This CI/CD platform is the common developer experience for the 1,800 software development teams at Capital One that enables us to continue thriving in the cloud in a safe and well-managed way by standardizing best practices and automating compliance and security requirements. This work is core to Capital One’s mission to change banking for good! As a Product Manager on the Developer Experience Product team, you will design and deliver best-in-class managed compute solutions that improve the quality of life of our software delivery teams while maintaining the highest quality and security standards. You will work with stakeholders at every level to identify pain points for software development teams throughout the software delivery life cycle. This team is focused on building a software delivery platform that is intuitive, reliable, automated, secure, adaptable, and fast. We’re passionate about building platform software for the next generation of developers at Capital One. This role advocates for the needs of the customer to inform the platform roadmap ensuring the capabilities being delivered are aligned with the intended business outcomes. You will be responsible for shaping multi-year strategies and partnering with tech teams to deliver platform features. The ideal candidate for this role is passionate about technology, deeply understands how developers work, and deeply empathizes with internal and external customer needs. They are comfortable in conversation with engineering teams as well as stakeholders ranging from data scientists to senior leaders. As part of the Director, Product Management - Deployment Experiences & Release Decisioning role, you will: Lead product management for the common capabilities across our deployment pipeline lifecycle Demonstrate excellent judgment with managing operational risk with customer experience Set the vision and strategy that is industry researched and customer backed Collaborate cross-functionally with stakeholders across cybersecurity, risk, compliance, supplier management, engineering and lines of business Drive roadmap and strategy while keeping a pulse on the industry landscape, customer and stakeholder needs and vendor roadmap Oversee the end-to-end product lifecycle, from ideation and requirements gathering to launch, defining success metrics and ongoing enhancements Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 7 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products Experience leading DevOps Product Management teams and strategies Experience leading product for large-scale enterprise platforms Experience leading risk management for enterprise platforms At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,500 - $239,100 for Director, Product Management McLean, VA: $230,400 - $263,000 for Director, Product Management New York, NY: $251,400 - $286,900 for Director, Product Management Plano, TX: $209,500 - $239,100 for Director, Product Management Richmond, VA: $209,500 - $239,100 for Director, Product Management San Francisco, CA: $251,400 - $286,900 for Director, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Plano, TX

  • no content

Manager, Product Management

Manager, Product Management Manager, Product Management (PXDP50) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team As part of the People Data Platform team, you’ll have access to: Collaborate with partners across the business to understand analytic needs Translate stakeholder and business needs into technical requirements Prioritize a backlog of high-impact data capabilities Define, instrument, and measure success metrics for people data onboarding Drive alignment across diverse partner and stakeholder teams to focus on value Contribute to overall organizational success against our stated HR Data OKR’s Monitor and analyze customer feedback across various channels Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $164,800 - $188,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Capitol, VA

  • no content

Sr. Director, Product Management - AI/ML Platform Intelligence

Sr. Director, Product Management - AI/ML Platform Intelligence Sr Director, Product Management (PXDP65) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team The Sr. Director, AI/ML Platform Intelligence will lead a product team spanning the Machine Learning and Generative AI platforms at Capital One, and will be responsible for the core platform services for AI/ML platform that powers mission critical business applications. This person will partner with technology, risk, security, and business teams to monitor platform performance, identify issues, and support resilience. We are looking for a technical product leader with a proven history of building products and experiences for data scientists and software developers. This individual will have excellent familiarity with emerging infrastructure and tooling for AI/ML application developers, and may have prior experience as a software engineer or data scientist with several years as a technical Product Manager and leader of product management teams. This leader will set the strategy and priorities grounded in technical understanding and user experience. They must be able to sit in the shoes of the user (data scientists and engineers) and measure the benefits of more powerful, faster capabilities and from a better developer experience. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 9 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products 5 years of experience in people leadership 3 years of experience in innovative technology environments that embrace public cloud and open source technologies 3 years of experience building business-critical AI and Machine Learning products Experience with AI/ML technologies such as Kubernetes, Observability, Security, AI/ML Experiment Management, or Model Monitoring Experience in Gen AI Application Evaluation, MLOps, or AIOps At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $245,100 - $279,800 for Sr. Dir, Product Management McLean, VA: $269,600 - $307,700 for Sr. Dir, Product Management New York, NY: $294,100 - $335,700 for Sr. Dir, Product Management San Francisco, CA: $294,100 - $335,700 for Sr. Dir, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

Applied Researcher II

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Prince, NY

  • no content

AVP, Model Validation

Role Summary/Purpose: The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects. Our Way of Working We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Essential Responsibilities: Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques. Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models. Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently. Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models. Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions. Support regulatory examinations and internal audits of the modeling process and selected models samples. Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4 years' experience in model development / model validation experience in financial services, banking, or retail. 4 years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake , H2O, SageMaker and AWS. 4 years of statistical analysis and the handling large amounts of data and analyzing for trends. 4 years of experience with the application of US regulatory requirements for Model Risk Management. Ability and flexibility to travel for business as required Desired Characteristics: Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements. 5 years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables. Sharp focus on accuracy with extreme attention to detail. Knowledge of Credit Card/Consumer Finance products and business model. Experience with Machine Learning / AI methodologies and related applications , including generative AI model validation and validation framework development. Excellent written and oral communication and presentation skills. ​ Grade/Level: 10 The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Our Way of Working : We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Eligibility Requirements: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time Job Family Group: Credit

  • Pisgah, OH

  • no content

AVP, Model Validation

Role Summary/Purpose: The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects. Our Way of Working We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Essential Responsibilities: Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques. Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models. Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently. Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models. Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions. Support regulatory examinations and internal audits of the modeling process and selected models samples. Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4 years' experience in model development / model validation experience in financial services, banking, or retail. 4 years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake , H2O, SageMaker and AWS. 4 years of statistical analysis and the handling large amounts of data and analyzing for trends. 4 years of experience with the application of US regulatory requirements for Model Risk Management. Ability and flexibility to travel for business as required Desired Characteristics: Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements. 5 years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables. Sharp focus on accuracy with extreme attention to detail. Knowledge of Credit Card/Consumer Finance products and business model. Experience with Machine Learning / AI methodologies and related applications , including generative AI model validation and validation framework development. Excellent written and oral communication and presentation skills. ​ Grade/Level: 10 The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Our Way of Working : We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Eligibility Requirements: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time Job Family Group: Credit

  • Alpharetta, GA

  • no content

AVP, Model Validation

Role Summary/Purpose: The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects. Our Way of Working We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Essential Responsibilities: Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques. Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models. Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently. Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models. Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions. Support regulatory examinations and internal audits of the modeling process and selected models samples. Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4 years' experience in model development / model validation experience in financial services, banking, or retail. 4 years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake , H2O, SageMaker and AWS. 4 years of statistical analysis and the handling large amounts of data and analyzing for trends. 4 years of experience with the application of US regulatory requirements for Model Risk Management. Ability and flexibility to travel for business as required Desired Characteristics: Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements. 5 years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables. Sharp focus on accuracy with extreme attention to detail. Knowledge of Credit Card/Consumer Finance products and business model. Experience with Machine Learning / AI methodologies and related applications , including generative AI model validation and validation framework development. Excellent written and oral communication and presentation skills. ​ Grade/Level: 10 The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Our Way of Working : We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Eligibility Requirements: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time Job Family Group: Credit

  • Lake Mary, FL

  • no content

AVP, Product Engineer - AML

Role Summary/Purpose: We are seeking a highly skilled AML Product Engineer to join our team and take ownership of the development, enhancement, and maintenance of Anti-Money Laundering (AML) products. The ideal candidate will have a strong background in software engineering combined with a deep understanding of AML regulations and product functionality. You will work closely with cross-functional teams including compliance, data science, and product management to build effective AML solutions that help detect and prevent financial crimes. Our Way of Working We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Key Responsibilities: Design, develop, and maintain AML product features and modules ensuring scalability, reliability, and compliance with regulatory standards. Document AML Data mapping from Source to AML Collaborate with compliance and risk teams to translate AML rules and regulatory requirements into technical specifications. Implement and optimize transaction monitoring systems, alert generation mechanisms, case management tools, and customer risk scoring features. Upgrade and Implement Actimize AML SAM and CDD models. Integrate AML product solutions with internal and external data sources, including sanctions lists, watchlists, and transaction data feeds. Continuously improve AML product performance through data analysis, tuning detection algorithms, and refining workflows. Work closely with data scientists and analysts to implement machine learning models and analytics for enhanced detection of suspicious activities. Provide technical troubleshooting, root cause analysis, and swift resolution of AML product issues. Ensure AML product security, data privacy, and audit readiness. Support product QA, user acceptance testing (UAT), and participate in release management. Keep abreast of evolving AML regulations, industry trends, and emerging technologies to innovate product capabilities. Document system designs, processes, and code in accordance with company standards. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. Proven experience (3 years) in software engineering with a focus on financial crime, AML, or regulatory technology products. Strong programming skills in languages such as Java, Python, or C#. Experience with implementing AML software platforms like Actimize SAM, CDD, STAR. Knowledge of AML regulatory requirements (e.g., BSA, FATF, OFAC sanctions) and risk typologies. Familiarity with transaction monitoring systems, alert workflows, case management, and KYC/CDD processes. Experience with databases (SQL/NoSQL), APIs, and integration of external data services. Understanding of machine learning/AI applications in AML is preferred. Excellent problem-solving, communication, and teamwork skills. Ability to work in an agile development environment. Ability and flexibility to travel for business as required Desired Characteristics: Strong problem-solving abilities combined with a proactive and solution-focused mindset. Ability to mentor and uplift the capabilities of peers in a collaborative, team-oriented environment. Critical thinking, creativity, and a solution-driven mindset Exposure to ETL tools like Ab initio. Grade/Level: 10 The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Our Way of Working : We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Eligibility Requirements: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time Job Family Group: Information Technology

  • Stamford, CT

  • no content

VP, Merchant Risk Underwriting

Role Summary/Purpose: The VP, Merchant Risk Underwriting is a multi-functional role within the Credit Acquisition Strategy team. Primary responsibilities include designing merchant underwriting strategies and managing the overall risk exposure (credit, fraud, and reputational) associated with new merchant acquisitions. This role will require extensive interaction with cross-functional teams to effectively influence and advance the merchant underwriting framework while ensuring risk controls are documented and enforced. Our Way of Working: We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Essential Responsibilities: Design, implement, and monitor SMB merchant underwriting strategies, focused heavily on expanding decisioning capabilities (e.g., identity verification, fraud controls, KYB/KYC). Analyze large datasets, identify emerging trends, and track champion/challenger strategy performance. Partner with third-party data vendors and internal technical teams to evaluate and deploy new underwriting technologies, firmographic tools, and API integrations that improve the merchant onboarding process. Provide effective challenge to commercial partners while supporting portfolio growth. Deploy enhanced surveillance and early-warning monitoring to detect emerging risk and manage credit exposure. Partner with Portfolio Credit Managers (PCMs) to support key responsibilities, including conducting industry reviews, monitoring portfolio performance, and driving strategy improvements. Create ad hoc analytics and reporting to support leadership decisions, client needs, and special projects. Investigate and resolve customer/client issues, coordinating root-cause analysis and remediation to improve experience and reduce repeat events. Develop and deliver client-facing and internal executive presentations on portfolio performance, risk themes, and recommended actions. Document and manage operational controls to ensure seamless alignment with the Lines of Defense (2nd Line Risk/Validation, 3rd Line Internal Audit) and Model Risk Management (MRM). Enforce bank credit policy and underwriting standards. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Bachelor's degree and 5 years of experience in a strategic analytical role, or in lieu of a degree, 10 years of experience in a commercial Credit/Risk role 5 years of experience in a credit risk/fraud strategy development role 5 years of SAS/SQL/Python programming experience (proficient level) with the ability to analyze complex datasets to derive actionable insights Experience operating at a strategic level within cross-functional teams Strong communication and presentation skills, with a proven ability to interact with, influence, and present to senior leadership and external clients Ability to navigate uncertainty, collaborate respectfully across functions and teams, and solve complex issues without prior precedent Ability and flexibility to travel for business as required Desired Characteristics: Expertise in consumer and commercial credit lending lifecycles, fraud risk solutions, and KYB/KYC identity solutions Demonstrated use of advanced technical and analytical competencies to drive effective strategic goals within a significant functional area Strong understanding of credit and fraud models Familiarity with Model Risk Management (MRM) frameworks and internal control governance Demonstrated ability to manage multiple projects, organize workflows and timelines, and perform in a fast-paced environment Experience working alongside and in partnership with offshore teams Master’s Degree or MBA with advanced analytic focus, or equivalent advanced degree Grade/Level: 12 The salary range for this position is 135,000.00 - 230,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle. Our Way of Working : We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. You will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training and culture events. *Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences. Eligibility Requirements: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations). Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment: When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued. Together, we’re building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow. This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We’re proud to have an award-winning culture for all. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time Job Family Group: Credit

  • Charlotte, NC

  • no content

Electrical & Instrumentation (E&I) Engineer

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you'll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You'll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world's transition to clean energy. Function: Engineering and Engineering Services Job Summary: The Electrical & Instrumentation (E&I) Engineer provides technical expertise and engineering support for electrical power systems, instrumentation, and control systems to ensure safe, reliable, and efficient plant operation. The role supports Operations, Maintenance, Engineering, and EHS&S by improving equipment reliability and developing and maintaining electrical and instrumentation standards and best practices. The E&I Engineer supports capital projects by developing scope and providing technical input for E&I portions of multidisciplinary projects, as well as stand-alone E&I projects, and collaborates with engineering teams, maintenance personnel, and contractors to support day-to-day plant needs and long-term improvement initiatives. Job Description: Job Responsibilities: Collaborate within the Electrical & Instrumentation Engineering group and across Engineering, Operations, Maintenance, Reliability, and EHS&S to support safe, reliable plant operation. Provide technical support for electrical power distribution systems from low voltage through medium voltage (up to 34.5 kV), including switchgear, motor control centers, transformers, protective relays, and associated equipment. Support instrumentation and control systems, including transmitters, analyzers, flow, level, gas detection, and safety instrumented systems. Investigate, diagnose, and resolve electrical and instrumentation equipment issues, including troubleshooting, testing, commissioning, and repair activities to improve on stream reliability. Develop electrical and instrumentation scope for capital and maintenance funded projects and provide technical input from concept through construction and startup; serve as E&I discipline lead when assigned. Prepare, review, and approve engineering designs, specifications, equipment data sheets, construction packages, cost estimates, and third-party engineering deliverables to ensure compliance with applicable codes, standards, CF specifications, and constructability requirements. Participate in and lead engineering design reviews to ensure modifications meet safety, reliability, and operability expectations. Develop, maintain, and ensure accuracy of electrical and instrumentation documentation, including one-line diagrams, P&IDs, loop drawings, schematics, logic diagrams, and specifications, and ensure documents reflect as built conditions. Support turnarounds, shutdowns, PHAs, LOPAs, and incident investigations, including follow up and closure of assigned action items. Demonstrate self-motivation, effective prioritization, sound decision making, and a commitment to continuous learning of industry standards and best practices. Support the corporate EHS&S Policy by integrating applicable requirements into engineering programs. Continuously identify and implement opportunities to improve site safety. Internal Controls: Understands and complies with established departmental processes and procedures that support internal control efforts. Identifies and reports internal control deficiencies to department management. Successful incumbents will have: B.S. in Engineering from an ABET - accredited institution, Electrical Engineering preferred. Three or more years of hands - on, in - plant experience (permanent or periodic temporary assignments). Five or more years of engineering experience in oil, gas, or chemical manufacturing. Working knowledge of electrical power distribution systems, instrumentation, and control systems. Experience executing electrical and instrumentation capital projects is preferred. Experience reading, interpreting, and modifying electrical drawings, P&IDs, and technical specifications. Familiarity with DCS and PLC systems. Strong written and verbal communication skills, with the ability to work effectively with personnel at all levels. Strong leadership and management skills, including team leadership, independent decision making, and prioritization. Proficiency in Microsoft Office. Ability to obtain a Transportation Worker Identification Credential (TWIC). Ability to remain drug - and alcohol - free, including random and for - cause testing. The above statements are intended to describe the general nature and level of work being performed by persons assigned to this job. These statements are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel in this position. FMLA: Employee Polygraph Protection Act Employees in Canada can learn more about their rights by viewing the "Canadian Human Rights Act". If you need any assistance seeking a job opportunity at CF Industries, or if you need reasonable accommodation with the application process, please call or contact us at . JOIN OUR TALENT NETWORK

  • Modeste, LA

  • no content