Senior Quantitative Analyst, Finance & Modeling

capitalone; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Principal Associate - Quantitative Analyst in McLean, VA, to join the Finance organization and lead modeling efforts across Capital Markets. The role emphasizes quantitative modeling, ML, and clear communication of complex results to leadership and business partners.

Candidate should have advanced degrees in quantitative fields and 3+ years of relevant experience in statistics, regression, and programming. Salary ranges are disclosed and sponsorship is available.

Qualifications

• Master's or PhD in a quantitative field by start date.
• At least 3 years of experience in statistical or econometric modeling.
• At least 3 years of experience in linear and logistic regression.
• At least 3 years of experience in programming in R, Python or SQL.
• Ability to present statistical concepts to non-statistical audiences.

Responsibilities

• Partner with lines of business to develop and enhance Capital Markets modeling and analytical framework.
• Work across Capital One entities to create novel analytical solutions to business problems.
• Identify opportunities to apply quantitative methods and automation to improve performance.
• Collaborate in a cross-disciplinary team to build cloud-based data solutions.
• Apply quantitative methods or machine learning to improve performance.
• Own the model development process from conceptualization to deployment and monitoring.

Skills

Quantitative modeling

Python

Data communication

Model documentation

Cross-functional collaboration

Education

Master's degree in quantitative field

PhD in quantitative field

Tools

SQL

R

Job description

Capital One is seeking a Principal Associate - Quantitative Analyst in McLean, VA, to join the Finance organization and lead modeling efforts across Capital Markets. The role emphasizes quantitative modeling, ML, and clear communication of complex results to leadership and business partners.

Candidate should have advanced degrees in quantitative fields and 3+ years of relevant experience in statistics, regression, and programming. Salary ranges are disclosed and sponsorship is available.