Product Manager – Model Analytics & Forecasting

Company: Capital One
Location: Mc Lean
Posted on: April 2, 2026

Job Description:

Product Manager – Model Analytics & Forecasting Capital One’s Finance Product & Data Solutions (FPDS) team is the central product organization within Finance, responsible for defining strategy, prioritizing outcomes, and ensuring the delivery of scalable, resilient platforms and data capabilities. We bring the Product discipline to complex Finance ecosystems, aligning business needs, technology execution, risk mitigation, and data governance to enable trusted reporting, informed decision-making, and long-term modernization. The Capital Markets & Analytics Product team is a high impact team within FPDS, entrusted with managing the platforms that our Capital Markets associates use to manage risk, value portfolios, and inform decision-making across Finance and the broader firm. Product Managers on our team are empowered to shape the platforms and capabilities that will define the future of balance sheet risk management at Capital One, while ensuring we maintain a well-managed and compliant suite of solutions for internal partners. This role sits at the intersection of Finance, Risk, Data, and Technology. You will own products that enable analytical rigor, scalability, and trust in our models — ensuring they are transparent, well-governed, and fit for strategic use. Your work will directly influence how the firm evaluates risk, allocates capital, and navigates changing market conditions. Responsibilities: Embed with partners and stakeholders across quant model development, balance sheet risk management, and Treasury trading desks to understand user & end customer pain points and desired outcomes from modeling tools Partner closely with users & end customers, including Quant and Treasury teams, to translate business requirements that enable model development, testing, and deployment Partner closely with counterparts across Technology, Data, and Business stakeholder teams, while working closely with peer teams in Research, Design, Architecture, and other groups, to develop & iterate on proposed solutions for high priority needs Drive alignment across stakeholders by prioritizing competing initiatives, sequencing development of capabilities and features, and ensuring end-to-end delivery Establish success metrics and feedback loops to assess customer usability, adoption, and solutions impact, continuously iterating based on user and stakeholder feedback This role is ideal for a Product Manager who thrives on ambiguity, enjoys solving hard structural problems, and can balance near-term delivery with long-term platform evolution. You will be expected to operate as a trusted partner to Finance and Risk leaders — not just gathering requirements, but helping shape the “why,” “what,” and “how” behind the models that matter most. 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: Background or hands-on experience supporting model development, analytics, or quantitative workflows , such as scenario analysis, stress testing, or forecasting Demonstrated ability to translate business partners’ needs into clear product strategy , defining target outcomes & operating models, success metrics, and proposed roadmaps / prioritized backlogs for business, engineering and data partner teams Comfortable navigating regulatory requirements and third-party systems limitations while still driving step-function modernization & improvements to user outcomes Enjoys working in a dynamic, fast-paced, and demanding team and learning environment while maintaining a high level of analytical rigor and attention to detail Strong ownership mindset with ability to both drive work independently and through/with others Ability to influence multiple senior stakeholders with competing priorities , synthesize diverse viewpoints, and drive alignment without direct authority Clear, confident communicator who can explain complex analytical concepts to both technical and non-technical audiences 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. Cambridge, MA: $164,800 - $188,100 for Manager, Product Management 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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Keywords: Capital One, Potomac , Product Manager – Model Analytics & Forecasting, IT / Software / Systems , Mc Lean, Maryland