Capital One
Senior Associate, Data Scientist - Model Risk Audit
$123K–$169K
McLean, VA +4 · Senior · Full-time · Posted Jul 24, 2026
- Location
- McLean, VA
Charlotte, NC
Richmond, VA
New York, NY
Plano, TX - Experience
- 2 years of data analytics experience with a bachelor’s degree; alternatively, a master’s degree in a quantitative field or an MBA with a quantitative concentration. Preferred: at least 2 years in Python, Scala, or R, machine learning, and SQL.
- Education
- Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a master’s degree in a quantitative field or an MBA with a quantitative concentration.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Reviews models and model-risk practices across Capital One, identifying risks and providing assurance while developing and validating analytical solutions.
What you'll do
- Review enterprise models and model-risk practices, identify issues, and provide assurance to the Audit Committee.
- Build machine-learning models through design, training, evaluation, validation, and implementation.
- Partner with cross-functional teams to develop analytical products and communicate findings in business terms.
What they ask for
- Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a master’s degree in a quantitative field or an MBA with a quantitative concentration.
- Currently holds or is obtaining the qualifying degree, with completion expected by the scheduled start date.
Nice to have
- Master’s or PhD in a STEM field; experience with AWS.
- At least 2 years of experience in Python, Scala, or R; machine learning; or SQL.
Pay
$123,300 - $140,700 USD base salary (Charlotte, NC); $135,600 - $154,800 USD base salary (McLean, VA); $148,000 - $168,900 USD base salary (New York, NY); $123,300 - $140,700 USD base salary (Plano, TX); $123,300 - $140,700 USD base salary (Richmond, VA)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Experiment with and build next-generation features powered by emerging NLP and Generative AI technologies; develop and validate machine-learning models.
Model-written summary · the original posting is authoritative