Senior Quantitative Analyst - Global Finance

Capital One

McLean, VA, United States
Base: $135,600 - $154,800 (mclean, va); bonus/equi...
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Python or object-oriented language programming
Statistical or econometric modeling expertise
Linear and logistic regression skills
** Capital One is seeking a Senior Quantitative Analyst for their Global Finance team, located in McLean, VA. This role involves leveraging advanced quantitative modeling and analytical skills to enhance Capital Markets frameworks and contribute to data-driven decision-making. **

Job Summary

  • This position offers a unique opportunity to be part of the modeling and quantitative analytics team in the dynamic Capital Markets & Analytics organization at Capital One.
  • Candidates will partner with various lines of business to develop and enhance Capital Markets modeling frameworks such as derivatives and fixed income models.
  • Capital One is a Fortune 200 company that disrupted the credit card industry by personalizing offers using statistical modeling and relational databases.

Matching Summary

Match Score: 75

** Capital One is seeking a Senior Quantitative Analyst for their Global Finance team, located in McLean, VA. This role involves leveraging advanced quantitative modeling and analytical skills to enhance Capital Markets frameworks and contribute to data-driven decision-making. **

Salary

Base: $135,600 - $154,800 (McLean, VA); Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Comprehensive health, financial, and other benefits included

Skills & Requirements

Must-have

  • Python or object-oriented language programming
  • Statistical or econometric modeling expertise
  • Linear and logistic regression skills
  • Derivatives and fixed income modeling knowledge
  • Large dataset management over 1M records

Nice-to-have

  • Cross-disciplinary team collaboration
  • Clear communication to non-statistical audiences
  • High quality model documentation standards
  • Innovation in data-driven decision making
  • Cloud computing technology application

Key Requirements

  • Master's degree in quantitative field or MBA with quantitative concentration
  • At least 1 year experience in statistical or econometric modeling
  • At least 1 year experience presenting results to non-statistical audiences
  • Experience in survival analysis, time-series, or panel data analysis preferred

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter