Principal Quantitative Analyst — Global Finance & ML Impact

Capital One; McLean (VA); Hybrid; USD 162.000 - 185.000; Vollzeit

Zusammenfassung

Capital One is seeking a Principal Quantitative Analyst for Global Finance in McLean, VA. You will help develop derivatives and fixed income models, using Python, R and SQL to deliver data-driven insights across billions of records and across Capital One entities.

You will own the full model lifecycle from concept to deployment, communicating results to leadership and applying machine learning to improve business performance.

Qualifikationen

• Master’s or PhD in a quantitative field or MBA with quantitative concentration plus 3 years of experience.
• Experience in statistical or econometric modeling, linear and logistic regression.
• Programming in R, Python or SQL and ability to present results to non-statistical audiences.
• 3+ years in survival analysis, time-series, panel data, ML and large datasets.

Aufgaben

• Partner with business lines to develop Capital Markets modeling and analytical framework.
• Work across Capital One entities to create novel analytical solutions.
• Apply quantitative methods and automation to improve performance.
• Collaborate to build cloud-based solutions grounded in data.
• Own model development: concept, data exploration, validation, deployment, training, monitoring.
• Communicate modeling results clearly to diverse audiences.
• Provide technical guidance to business leadership.

Kenntnisse

Python

R

SQL

Statistical modeling

Ausbildung

Master’s or PhD in quantitative field

Tools

Risk Management Software

Jobbeschreibung

Capital One is seeking a Principal Quantitative Analyst for Global Finance in McLean, VA. You will help develop derivatives and fixed income models, using Python, R and SQL to deliver data-driven insights across billions of records and across Capital One entities.

You will own the full model lifecycle from concept to deployment, communicating results to leadership and applying machine learning to improve business performance.