Capital_OneVerified Source

Product Manager - Fraud Tools

165K–188K
Onsite · New York, New York
Posted August 12, 2026
payroll

Overview

Lead development of fraud tools integrated via APIs and automated data population to enhance customer protection. Build tools within servicing and agentic experiences that are human centered and AI ready. Drive innovation and sustainable customer experiences through technology.

What You'll Do10

  • 1Design and ship fraud detection tools using Python and AWS
  • 2Own end-to-end development of automated data population pipelines using Spark and Airflow
  • 3Drive integration of tools into servicing platform via APIs
  • 4Collaborate with cross-functional teams to define product vision and roadmap
  • 5Prioritize user experience for fraud operations associates
  • 6Ensure AI readiness for machine learning models
  • 7Deliver measurable impact within first 90 days
  • 8Mentor junior product managers and engineers
  • 9Maintain alignment with Capital One Product Framework principles
  • 10Contribute to performance metrics and continuous improvement initiatives

Requirements11

  • 15+ years building ETL pipelines with Spark and Airflow
  • 2Bachelor's or Master's Degree in Statistics Economics Operations Research Analytics Mathematics Computer Science Software Engineering Mechanical Engineering Information Systems
  • 3Business or Marketing degree with 3+ years product management experience
  • 4Proven ability to translate business strategy into consumer-facing digital products
  • 5Experience with cloud platforms AWS and Kubernetes
  • 6Familiarity with API design and agentic workflow patterns
  • 7Strong leadership skills for cross-functional collaboration
  • 8Understanding of fraud detection technologies and processes
  • 9Ability to work in a fast-paced environment
  • 10Commitment to diversity and inclusion
  • 11Willingness to relocate to McLean Virginia or New York City

Salary Insight

$165 - $188k per year

Location

Typeonsite
LocationNew York, New York

Required Skills

Product ManagementAPI IntegrationHuman Centered DesignAI Ready ModelingCross Functional LeadershipQuantitative Analysis
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