Senior Associate, Data Science — Consumer Credit Risk

## About the Role Deploy and modernize machine learning model pipelines for consumer credit risk management at Capital One. Collaborate across teams to build predictive models for loan portfolio losses and account management, supporting regulatory stress testing and capital allocation decisions. Requires Bachelor's in a quantitative field plus 2 years data analytics experience, or a Master's/MBA. ## Responsibilities - Deploy and modernize ML model pipelines for credit risk - Build predictive models for loan portfolio losses - Support regulatory stress testing and capital allocation - Optimize model deployment and translate technical work into business strategy - Collaborate with cross-functional teams ## Requirements - Bachelor's in Statistics, Economics, Operations Research, Analytics, Math, or CS + 2 years data analytics experience, OR Master's/MBA with quantitative focus - Preferred: Master's/PhD in STEM field - Experience with Python, Scala, or R - 2+ years ML experience - SQL proficiency - AWS experience preferred