Senior Quantitative Analyst - Global Finance

Capital One

McLean, VA, United States
Base: $135,600 - $154,800 (mclean, va); bonus/equi...
Not specified
Deep understanding of quantitative modeling in finance
Extensive experience in python or object-oriented language
Ability to communicate modeling results clearly
Capital One is seeking a Senior Quantitative Analyst for their Global Finance team, where the role focuses on leveraging data and advanced analytics to drive business insights and financial modeling. The ideal candidate will have strong expertise in quantitative analysis, programming skills, and experience in developing financial models

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.
  • 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 an equal opportunity employer committed to non-discrimination and promotes a drug-free workplace.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Quantitative Analyst for their Global Finance team, where the role focuses on leveraging data and advanced analytics to drive business insights and financial modeling. The ideal candidate will have strong expertise in quantitative analysis, programming skills, and experience in developing financial models.

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

Skills & Requirements

Must-have

  • Deep understanding of quantitative modeling in finance
  • Extensive experience in Python or object-oriented language
  • Ability to communicate modeling results clearly
  • Experience with statistical or econometric modeling
  • Proficiency in linear and logistic regression
  • Programming skills in R, Python, or SQL

Nice-to-have

  • Strong written and verbal communication skills
  • Drive to develop high quality model documentation
  • Ability to navigate Risk Management Software
  • Cross-disciplinary team collaboration experience
  • Cloud-based solution development expertise

Key Requirements

  • Master's degree in quantitative field or MBA with quantitative concentration
  • At least 1 year of experience in quantitative analytics
  • At least 1 year of experience in survival analysis or time-series analysis
  • Analysis and management of large datasets exceeding 1 million records

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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