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Manager, Quantitative Analysis - Global Finance

Job in McLean, Fairfax County, Virginia, USA
Listing for: Capital One
Full Time, Part Time position
Listed on 2026-01-14
Job specializations:
  • Finance & Banking
    Data Scientist, Mathematics
Job Description & How to Apply Below
* Develop, implement, and calibrate term structure models. This role involves creating robust frameworks to accurately capture interest rate dynamics, enabling precise pricing of fixed-income instruments and effective risk management.
* Calibrate model parameters by developing algorithms that achieve the "best fit" to the current volatility surface using market data, including swaps, bonds, and swaptions.
* Integrate yield curve models across various lines of business to support finance organization modeling use cases, including interest rate risk analytics and stress testing.
* Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as deposit predictions, derivatives models and fixed income models.
* Work across Capital One entities to create novel analytical solutions to challenging business problems.
* Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
* Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.
* Identify opportunities to apply quantitative methods or machine learning to improve business performance.
* Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.
* Providing technical guidance to business leadership.
* Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
* Understand and navigate Risk Management Software to enable business analysis.
* Deep understanding of quantitative modeling in relation to finance, deposit behaviors, capital markets and investment portfolio  modeling principles.
* Extensive experience in Python or other object-oriented language.
* Ability to clearly communicate modeling results to a wide range of audiences.
* Drive to develop and maintain high quality and transparent model documentation.
* Strong written and verbal communication skills.
* Strong presentation skills.
* Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.
* Deep understanding of stochastic calculus, partial differential equations (PDEs) and monte carlo simulations.
* Proficient in developing and implementing yield curve term structure models (e.g., Hull-White, Black-Karasinski) and multi-factor models (e.g., HJM or LMM) to capture the complexities of the term structure.
* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
* A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
* PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines.
* 5+ years of experience in statistical modeling, regression analytics or machine learning.
* 4+ years of credit risk modeling experience for commercial banks (default probability, loss given default, or exposure at default.)
* 2+ years of experience managing a team of analysts.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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