Product Manager – Model Analytics & Forecasting

Capital One • McLean, VA

1d • $149,800 - $188,100

About The Position

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. 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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level