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Capital One · 3 days ago

Senior Manager, Product Management - Risk Management Product

Richmond, VA

Full-time

Onsite

Senior Level

$176K/yr - $240K/yr

5+ years exp

Capital One is a leading financial institution focused on transforming risk management through technology. As a Senior Manager in Product Management, you will lead efforts to modernize the Counterparty Risk platform, collaborate with cross-functional teams, and leverage AI tools to enhance product delivery.

Financial Services

Comp. & Benefits

No H1B

Responsibilities

Collaborate closely with Engineering, Design, and internal users to identify pain points and co-create solutions that modernize our Counterparty Risk platform

Translate business needs into clear user stories and acceptance criteria for data-intensive products, serving as the bridge between complex analysis and technical execution

Manage the product lifecycle for critical data pipelines, ensuring the flow of risk data is accurate, timely, and structured for downstream decision-making

Drive the day-to-day backlog and sprint prioritization, making smart trade-offs to deliver continuous value while troubleshooting issues as they arise

Leverage AI tools (like Gemini and Windsurf) to accelerate your workflow—from drafting specs to analyzing feedback—allowing you to focus on high-impact problem solving

Qualification

Product ManagementData AnalysisRisk ManagementAI ToolsQuantitative DegreeCross-functional LeadershipCustomer FocusProblem Solving

Required

At least 5 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) or 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