Senior Quantitative Analyst, Global Finance & ML

Capital One National Association; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One is seeking a Principal Quantitative Analyst to advance finance modeling and analytics across Capital Markets, using advanced statistics, ML, and cloud-based data solutions. You will own model development from concept through deployment, and communicate results to senior leadership.

You will work with Python, R, and SQL in a dynamic finance organization, contributing to risk-aware decision making and scalable modeling practices across large datasets.

Qualifications

• Master's or PhD in a quantitative field or MBA with quantitative concentration plus 3 years of experience in quantitative analytics
• Three years of experience in statistical or econometric modeling, regression analysis, and related techniques
• Experience in programming in Python, R or SQL and presenting statistical results to non-statistical audiences
• Data-driven modeling across finance and capital markets; ability to own the full model development lifecycle

Responsibilities

• Develop and enhance Capital Markets modeling and analytical framework, including derivatives and fixed income models
• Collaborate across Capital One entities to create analytical solutions for business problems
• Apply quantitative methods and automation to improve performance and efficiency
• Build cloud-based data solutions in cross-disciplinary teams
• Apply machine learning to improve business outcomes
• Provide technical guidance and clearly communicate results to leadership

Skills

Quantitative modeling

Python

R

SQL

Statistical analysis

Communication skills

Model development

Education

Master's degree in a quantitative field

PhD in a quantitative field

Job description

Capital One is seeking a Principal Quantitative Analyst to advance finance modeling and analytics across Capital Markets, using advanced statistics, ML, and cloud-based data solutions. You will own model development from concept through deployment, and communicate results to senior leadership.

You will work with Python, R, and SQL in a dynamic finance organization, contributing to risk-aware decision making and scalable modeling practices across large datasets.