Senior Data Scientist – Credit Risk Forecasting & ML

Information Technology Senior Management Forum; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One in McLean, Virginia is seeking a Senior Associate, Data Science to join a cross‑functional team that builds predictive models for credit risk. You will work with data scientists, software engineers, and product managers to forecast losses, transform data, and modernize loss forecasting using Python, AWS, Spark, and related tools.

The role emphasizes governance, model validation, and presenting risk insights to executives.

Qualifications

• Generally requires a degree in a quantitative field with analytics experience.
• Experience in building and validating ML models.
• Proficiency with Python, SQL, and cloud platforms.

Responsibilities

• Partner with cross‑functional teams to quantify model risks.
• Leverage Python, AWS, Spark, and other tools to gain insights.
• Build and evaluate statistical and ML models.
• Contribute to model governance for next‑gen ML.
• Present findings on model risk to executives.

Skills

Python

SQL

Machine learning

Data analysis

Statistical modeling

Education

Bachelor's Degree in quantitative field

Master's Degree in quantitative field or MBA with quantitative concentration

Tools

AWS

Spark

Conda

Job description

Capital One in McLean, Virginia is seeking a Senior Associate, Data Science to join a cross‑functional team that builds predictive models for credit risk. You will work with data scientists, software engineers, and product managers to forecast losses, transform data, and modernize loss forecasting using Python, AWS, Spark, and related tools.

The role emphasizes governance, model validation, and presenting risk insights to executives.