Sr. Data Analysis Manager- Enterprise External Fraud Data Analytics (people Leader)

Capital One

McLean, VA, US
Mclean, va: $200,700 - $229,100; richmond, va: $18...
Hybrid
Analytical tools validation framework
Assess analytical tool methodologies
Research industry best practices
Capital One is seeking a Senior Data Analysis Manager for their Enterprise External Fraud Data Analytics team. The ideal candidate will have extensive experience in data analytics, leadership capabilities, and a strong background in financial services, with a focus on statistical and econometric modeling

Job Summary

  • As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools.
  • With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Data Analysis Manager for their Enterprise External Fraud Data Analytics team. The ideal candidate will have extensive experience in data analytics, leadership capabilities, and a strong background in financial services, with a focus on statistical and econometric modeling.

Salary

McLean, VA: $200,700 - $229,100; Richmond, VA: $182,500 - $208,300; Riverwoods, IL: $182,500 - $208,300; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • analytical tools validation framework
  • assess analytical tool methodologies
  • research industry best practices
  • data-driven decision-making
  • external fraud data analytics

Nice-to-have

  • entrepreneurial environment
  • work/life balance
  • cross-functional partnerships
  • coaching and mentoring junior staff

Key Requirements

  • Bachelor’s Degree in quantitative field plus 7 years of data analytics experience
  • Master’s Degree plus 5 years of data analytics experience
  • 5 years of professional data analysis work
  • 5 years of experience leading open source data technologies
  • 2 years of experience managing people
  • Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
  • 7 years of experience in statistical or econometrics hands-on work
  • 5 years of experience manipulating large data sets
  • 5 years of experience in financial services industry
  • 5 years of experience developing statistical or econometric models
  • 5 years of experience validating statistical or econometric models
  • 2 years of experience with data governance
  • 2 years of experience with predictive analytics

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter