Capital One
Manager, Data Science - Model Risk Office
$179K–$225K
McLean, VA +1 · Manager · Full-time · Posted May 21, 2026
- Location
- McLean, VA
Riverwoods, IL - Experience
- Data analytics: 6 years with a bachelor's degree, 4 years with a master's degree or quantitatively concentrated MBA, or 1 year with a PhD. Also requires at least 1 year each in open-source programming for large-scale data analysis, machine learning, and relational databases.
- Education
- Bachelor's, master's, or PhD in a quantitative field; alternatively, an MBA with a quantitative concentration for the master's pathway. The degree may be in progress but must be 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
Leads independent validation of payment network fraud, AML, counterparty-risk, and financial models, assessing model risk and communicating findings to stakeholders.
What you'll do
- Validate models and modeling approaches in accordance with SR 11-7 and internal model risk policies.
- Assess model risks, opportunities, performance, and business context; support continuous improvement.
- Create transparent documentation and explain technical findings to varied audiences and senior management.
What they ask for
- Quantitative degree and data analytics experience: bachelor's plus 6 years, master's or quantitatively concentrated MBA plus 4 years, or PhD plus 1 year.
- At least 1 year using open-source programming languages for large-scale data analysis.
- At least 1 year working with machine learning.
- At least 1 year using relational databases.
Nice to have
- At least 1 year working with AWS.
- At least 4 years using Python, Scala, or R for large-scale data analysis; at least 4 years of machine learning experience.
Pay
$197,300 - $225,100 USD base salary; $179,400 - $204,700 USD base salary
Tools
Gradient Boosting, Random Forecast, Python, Scala, R, AWS
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