Principal Associate - Quantitative Analyst

Capital One

McLean, Virginia, United States
Base: $161,800 - $184,600 (mclean, va); bonus/equi...
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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 Principal Associate - Quantitative Analyst to join their Finance organization in McLean, Virginia. The role emphasizes leveraging data analytics, quantitative modeling, and machine learning to enhance financial insights and drive business performance. **

Job Summary

  • This position offers a unique opportunity to be part of the dynamic Finance organization at Capital One leveraging technology to drive deeper insights.
  • Candidates will partner with various lines of business to develop and enhance Capital Markets modeling frameworks including deposit predictions and derivatives models.
  • Successful candidates must possess deep expertise in mathematics, statistical, and machine learning methods to generate critical insights for business and customers.

Matching Summary

Match Score: 75

** Capital One is seeking a Principal Associate - Quantitative Analyst to join their Finance organization in McLean, Virginia. The role emphasizes leveraging data analytics, quantitative modeling, and machine learning to enhance financial insights and drive business performance. **

Salary

Base: $161,800 - $184,600 (McLean, VA); Bonus/Equity: Performance based incentive compensation eligible; Benefits: Comprehensive health, financial, and other benefits included

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
  • Drive to develop high quality model documentation
  • Strong written and verbal communication skills

Nice-to-have

  • Experience with machine learning applications
  • Knowledge of derivative instruments
  • Behavior modeling experience for complex products
  • Ability to navigate Risk Management Software
  • Cross-disciplinary collaboration skills

Key Requirements

  • Bachelor's degree plus 5 years data analytics experience
  • Master's degree plus 3 years data analytics experience
  • PhD in quantitative field
  • 1 year experience with Python, C++, or R
  • 1 year experience in machine learning
  • 2 years experience with data analysis and SQL
  • 1 year system and/or model implementation experience
  • 1 year QRM experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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