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

Capital One

McLean, VA, USA
Base: $182,500 - $229,100; bonus/equity: performan...
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Enterprise external fraud data analytics
Analytical tools validation framework
Assessing tools risks and opportunities
** Capital One is seeking a Senior Data Analysis Manager for its Enterprise External Fraud Data Analytics team, a leadership role focused on enhancing analytical frameworks and validating business-impacting tools. The ideal candidate should possess extensive experience in data analytics, a strong background in statistical modeling, and leadership skills to guide junior staff in a collaborative environment. **

Job Summary

  • As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools.
  • You will enhance your technical and analytical skills, while also working with leaders to influence business strategies.
  • 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.

Matching Summary

Match Score: 75

** Capital One is seeking a Senior Data Analysis Manager for its Enterprise External Fraud Data Analytics team, a leadership role focused on enhancing analytical frameworks and validating business-impacting tools. The ideal candidate should possess extensive experience in data analytics, a strong background in statistical modeling, and leadership skills to guide junior staff in a collaborative environment. **

Salary

Base: $182,500 - $229,100; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Enterprise External Fraud Data Analytics
  • analytical tools validation framework
  • assessing tools risks and opportunities
  • prototyping industry best practices
  • coaching and mentoring junior staff

Nice-to-have

  • fast-paced entrepreneurial environment
  • work/life balance
  • cross-functional partnerships

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

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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