Senior Manager, Data Analysis - Global Payment Network - Network Risk

Capital One

McLean, VA, US
Mclean, va: $200,700 - $229,100; richmond/chicago/...
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Bachelor's or master's degree in quantitative field
7 years of data analytics experience
5 years leading open source data technologies
** Capital One is seeking a Senior Manager for Data Analysis in the Global Payment Network - Network Risk team. The role involves leading data validation projects, managing analytical tools, and collaborating across teams to enhance data-driven decision-making while promoting a culture of growth and work/life balance. **

Job Summary

  • This role involves partnering cross-functionally to validate business-impacting analytical tools within the Global Payment Network Risk Management team.
  • The position requires refining enterprise-wide analytical tool validation frameworks and integrating predictive risk signals into core network oversight processes.
  • Capital One offers a dynamic environment with opportunities to learn, grow, and realize full potential while working on challenging projects with an eye on the bottom line.

Matching Summary

Match Score: 75

** Capital One is seeking a Senior Manager for Data Analysis in the Global Payment Network - Network Risk team. The role involves leading data validation projects, managing analytical tools, and collaborating across teams to enhance data-driven decision-making while promoting a culture of growth and work/life balance. **

Salary

McLean, VA: $200,700 - $229,100; Richmond/Chicago/Riverwoods: $182,500 - $208,300; Performance-based incentive compensation available

Skills & Requirements

Must-have

  • Bachelor's or Master's degree in quantitative field
  • 7 years of data analytics experience
  • 5 years leading open source data technologies
  • 5 years professional data analysis work
  • Strong problem solving and conceptual thinking

Nice-to-have

  • Master's Degree or PhD in Finance or Statistics
  • Experience with predictive analytics
  • Coaching and mentoring junior staff
  • Fast-paced entrepreneurial environment
  • Work/life balance focus

Key Requirements

  • Bachelor's degree plus 7 years experience OR Master's plus 5 years
  • At least 5 years leading open source data technologies
  • At least 2 years managing people
  • US employment authorization eligibility

Work Rights

Not specified

Sponsorship: available

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