Senior Data Analyst - Global Payment Network - Network Risk

Capital One

McLean, VA, USA
Mclean, va: $111,200 - $126,900; richmond, va: $10...
Hybrid (3 days in the office)
Global payment network
Network risk
Large-scale transaction data
Capital One is seeking a Senior Data Analyst for their Global Payment Network - Network Risk team, responsible for leveraging data analytics to tackle business challenges and improve risk management. The ideal candidate will have a strong technical background in data analysis and scripting, particularly in Python, R, or SQL, with at least two years of relevant experience

Job Summary

  • Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
  • Your role will be to help execute on our ambitious agenda, which includes reinventing our data reporting architecture, establishing robust governance frameworks for emerging payment types, and integrating predictive risk signals into our core network oversight processes.
  • 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 Analyst for their Global Payment Network - Network Risk team, responsible for leveraging data analytics to tackle business challenges and improve risk management. The ideal candidate will have a strong technical background in data analysis and scripting, particularly in Python, R, or SQL, with at least two years of relevant experience.

Salary

McLean, VA: $111,200 - $126,900; Richmond, VA: $101,100 - $115,400; Chicago, IL: $101,100 - $115,400; Riverwoods, IL: $101,100 - $115,400; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Global Payment Network
  • Network Risk
  • Large-scale transaction data
  • Advanced analytics
  • Data reporting architecture
  • Predictive risk signals

Nice-to-have

  • Data-driven decision-making
  • Self-service frameworks
  • Process management and improvement

Key Requirements

  • Bachelor’s Degree in quantitative field
  • At least 2 years of data analytics experience
  • At least 1 year of scripting language experience
  • At least 1 year of business intelligence visualization tool experience
  • At least 1 year of querying, analyzing, and working with data languages and platforms

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter