Drimva

Capital One

Senior Manager, Data Science - Model Risk Office

$209K–$262K

Chicago, IL +2 · Manager · Full-time · Posted Oct 5, 2026

Location
Chicago, IL
McLean, VA
Riverwoods, IL
Experience
7 years with a bachelor's degree, 5 years with a master's degree or quantitative MBA, or 2 years with a PhD; plus 2 years each in open-source 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 is specified for the master's-level pathway.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Oversee and review credit card underwriting models, using data science and analytical methods to support effective model governance and business outcomes.

What you'll do

  • Review and oversee models used to underwrite credit card products.
  • Build machine learning models through design, training, evaluation, validation, and implementation.
  • Collaborate with data scientists, engineers, and product managers, and communicate analytical work in business terms.

What they ask for

  • Quantitative degree and data analytics experience: bachelor's plus 7 years, master's or quantitative MBA plus 5 years, or PhD plus 2 years.
  • At least 2 years using open-source programming languages for large-scale data analysis.
  • At least 2 years working with machine learning.
  • At least 2 years using relational databases.

Nice to have

  • At least 1 year working with AWS or managing people.
  • At least 5 years using Python, Scala, or R for large-scale data analysis, or at least 5 years with machine learning.

Pay

$209,000 - $238,500 USD base salary (Chicago, IL); $229,900 - $262,400 USD base salary (McLean, VA); $209,000 - $238,500 USD base salary (Riverwoods, IL)

Tools

Python, Conda, AWS, H2O, Spark

AI focus

Applies machine learning and AI expertise to review and govern underwriting models; builds models through development and validation.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)