Capital One
Senior Associate, Data Scientist - Model Risk Office
$123K–$155K
McLean, VA +2 · Senior · Full-time · Posted Oct 6, 2026
- Location
- McLean, VA
Richmond, VA
Chicago, IL - Experience
- Bachelor’s degree pathway requires 2 years of data analytics experience; master’s degree or quantitative MBA pathway is an alternative. Preferred: at least 2 years in Python, Scala, or R for large-scale data analysis and at least 2 years in machine learning.
- 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. The required degree may be in progress if obtained by the scheduled start date.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Validate models and assess model risks across business domains, build challenger machine-learning models, and help strengthen model governance, including for GenAI risks.
What you'll do
- Partner with data scientists, software engineers, and product managers to identify and quantify model risks.
- Build challenger models and validate models across Enterprise Services business domains.
- Present model-risk findings and potential business impacts to executives.
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.
- For the bachelor’s degree pathway, the required degree must be obtained by the scheduled start date.
Nice to have
- Master’s degree or PhD in a STEM field; experience working with AWS.
- At least 2 years’ experience in Python, Scala, or R for large-scale data analysis, and at least 2 years’ experience with machine learning.
Pay
$123,300 - $140,700 USD base salary (Chicago, IL); $135,600 - $154,800 USD base salary (McLean, VA); $123,300 - $140,700 USD base salary (Richmond, VA)
Tools
PyTorch, Hugging Face, LangChain, Vector Databases, LLMOps, AWS, Python, Scala
AI focus
Assess risks associated with models, including GenAI; build and validate machine-learning models, including challenger models.
Model-written summary · the original posting is authoritative