Senior Quantitative Analyst – Finance Modeling & Insight

Capital One National Association; McLean, Northern (VA, KY); Hybrid; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Principal Associate - Quantitative Analyst in McLean, VA. You will develop and implement quantitative models for capital markets, working across business lines and leveraging cloud-based data solutions.

The role focuses on rigorous modeling, documentation, and clear communication of results to leadership and non-technical stakeholders. The ideal candidate has advanced degrees in a quantitative field and 3+ years in quantitative analytics, with strong Python/R/SQL skills,

Qualifications

• Master’s degree in a quantitative field or MBA with quantitative concentration plus 3 years of experience in quantitative analytics.
• PhD in a quantitative field as an alternative.
• At least 3 years of experience in statistical or econometric modeling, regression, and programming.

Responsibilities

• Develop and enhance Capital Markets modeling frameworks across lines of business.
• Collaborate across Capital One entities to create analytical solutions.
• Apply quantitative methods and automation to improve performance and efficiency.
• Build cloud-based data solutions with cross-disciplinary teams.
• Communicate modeling results clearly to non-statistical audiences.
• Own the model development process from conceptualization to monitoring.

Skills

Quantitative modeling

Python/R/SQL programming

Statistical modeling

Linear/Logistic regression

Communication skills

Model documentation

Presentation skills

Model development lifecycle

Education

Master’s degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Job description

Capital One is seeking a Principal Associate - Quantitative Analyst in McLean, VA. You will develop and implement quantitative models for capital markets, working across business lines and leveraging cloud-based data solutions.

The role focuses on rigorous modeling, documentation, and clear communication of results to leadership and non-technical stakeholders. The ideal candidate has advanced degrees in a quantitative field and 3+ years in quantitative analytics, with strong Python/R/SQL skills,