Senior Quantitative Analyst — Finance ML & Risk Modeling

Capital One; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Quantitative Analyst to advance modeling for Capital Markets & Analytics. You will work across teams to build derivatives and fixed income models, implement cloud-based analytics, and communicate insights to leadership.

The role requires foundations in statistics and machine learning, plus hands-on Python/R/SQL coding and end-to-end model development. This position offers strong growth, competitive compensation, and a focus on data-driven decision making.

Qualifications

• Master’s degree in a quantitative field or MBA with quantitative concentration completed by start date.
• 1+ year in statistical/econometric modeling.
• 1+ year in linear and logistic regression.
• 1+ year coding in R, Python or SQL.
• Ability to explain statistical concepts to non-statisticians.
• Strong written and verbal communication skills.
• End-to-end model development ownership.

Responsibilities

• Develop and enhance Capital Markets modeling and analytics framework (derivatives, fixed income).
• Collaborate across entities to create novel analytical solutions.
• Apply quantitative methods and automation to improve performance and efficiency.
• Build cloud-based data-grounded solutions in cross-disciplinary teams.
• Apply ML techniques to improve business outcomes.
• Provide technical guidance to business leadership.
• Communicate complex modeling concepts clearly to diverse audiences.
• Navigate Risk Management Software for business analysis.

Skills

Python

R

SQL

Statistics

Machine learning

Communication

Modeling

Education

Master’s degree in quantitative field

MBA with quantitative concentration

Job description

Capital One is seeking a Senior Quantitative Analyst to advance modeling for Capital Markets & Analytics. You will work across teams to build derivatives and fixed income models, implement cloud-based analytics, and communicate insights to leadership.

The role requires foundations in statistics and machine learning, plus hands-on Python/R/SQL coding and end-to-end model development. This position offers strong growth, competitive compensation, and a focus on data-driven decision making.