Capital One
Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Responsible Banking Compliance
$286K–$359K
Richmond, VA +1 · Director · Full-time · Posted May 18, 2026
- Location
- Richmond, VA
McLean, VA - Experience
- Data analytics: 11 years with a bachelor's degree, 9 years with a master's degree or quantitative MBA, or 6 years with a PhD. Also requires at least 6 years each in open-source programming for large-scale data analysis, machine learning, and relational databases.
- Education
- Quantitative bachelor's, master's, or PhD; a quantitative MBA may substitute for a master's degree.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads Fair Lending Analytics, overseeing data scientists and analysts who assess lending decisions, mitigate compliance risk, and support responsible AI in credit processes.
What you'll do
- Lead fair lending reviews and monitoring, including statistical analyses, modeling, and reviews of credit models and policies.
- Develop and implement fair lending and responsible data use processes, partnering with Legal and business stakeholders.
- Lead and develop a team of Compliance professionals, including data scientists, and translate analyses into business recommendations.
What they ask for
- Quantitative bachelor's degree plus 11 years of data analytics experience; or quantitative master's degree or quantitatively concentrated MBA plus 9 years; or quantitative PhD plus 6 years.
- At least 6 years leveraging open-source programming languages for large-scale data analysis.
- At least 6 years working with machine learning.
- At least 6 years utilizing relational databases.
Nice to have
- At least 1 year working with AWS.
- At least 4 years managing people; or at least 6 years using Python, Scala, or R for large-scale data analysis.
Pay
USD $314,800 - $359,300 base salary (McLean, VA); USD $286,200 - $326,700 base salary (Richmond, VA)
Tools
Python, Conda, AWS, H2O, Spark, Scala, R
AI focus
Enables responsible AI development in credit processes and builds machine-learning models through design, training, evaluation, validation, and implementation.
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