About The Position

The Account Opening Decisioning (AOD) team is part of Capital One Retail Bank and determines whether account applications should be approved. Its mission is to make account opening seamless for good customers while preventing bad actors from opening accounts. The team builds the policies, models, and data integrations that power automated decisions, and designs customer- and associate-facing experiences for decisions that require human involvement. As the Detection Product Manager, you will lead the vision, strategy, and execution for evolving detection capabilities from static defenses into a proactive, adaptive growth engine. You will own the full detection lifecycle, using data and model strategies to counter sophisticated fraud while enabling frictionless experiences for low-risk applicants. The role involves close partnership with Data Science, Engineering, Enterprise teams, and other AOD product team members. Capital One expects Product Managers to demonstrate proficiency in five areas: human-centered customer focus, business-focused delivery and execution, technology-driven innovation and resilience, integrated problem solving that mitigates product risks, and transformational leadership that aligns cross-functional teams.

Requirements

  • Currently has, or is in the process of obtaining, a bachelor's or master's degree in a quantitative field, Business, or Marketing, with the required degree obtained on or before the scheduled start date; alternatively, a bachelor's degree in any field and at least 3 years of Product Management experience.
  • Quantitative fields listed include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems, or a related quantitative field.

Nice To Haves

  • Experience translating business strategy and analysis into consumer-facing digital products.

Responsibilities

  • Drive the vision, strategy, and execution for evolving account-opening detection capabilities.
  • Own the full detection lifecycle.
  • Use data and model strategies to counter sophisticated fraud rings while enabling frictionless experiences for low-risk applicants.
  • Partner closely with Data Science, Engineering, Enterprise teams, and fellow AOD product team members.
  • Apply customer-centered thinking, business focus, technology, integrated problem solving, and transformational leadership to product management.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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