Capital One
Principal Associate, Data Science - Model Risk Office
$147K–$185K
McLean, VA +1 · Principal · Full-time · Posted Sep 10, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- 5 years of data analytics experience with a bachelor's degree; 3 years with a master's degree or MBA with a quantitative concentration; no years specified with a PhD.
- Education
- Bachelor's, master's, or PhD in a quantitative field; alternatively, an MBA with a quantitative concentration under the stated experience option.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Validates models, assesses model risks, and develops machine learning models and governance practices across Capital One business domains.
What you'll do
- Partner with data scientists, software engineers, and product managers to identify and quantify model risks.
- Build machine learning models to challenge production champion models and validate models across business domains.
- Contribute to model governance and present business impacts of model risks to executives.
What they ask for
- A bachelor's degree in a quantitative field plus 5 years of data analytics experience; or a master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data analytics experience; or a PhD in a quantitative field.
- The required degree must be obtained on or before the scheduled start date.
Nice to have
- At least 1 year of experience working with AWS.
- At least 3 years’ experience in Python, Scala, or R; machine learning; or SQL.
Pay
$161,800 - $184,600 USD base salary (McLean, VA); $147,100 - $167,900 USD base salary (Richmond, VA)
Tools
Python, Conda, AWS, Spark, Scala, R, SQL
AI focus
Builds machine learning models to challenge production models, validates models, and contributes to governance of next-generation machine learning models.
Model-written summary · the original posting is authoritative