About this role

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Lead teams of data scientists who build machine learning models to challenge current champion models
Lead validation of a wide variety of models across multiple business domains

Currently has, or is in the process of obtaining one of the following: A Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field
Master’s Degree in “STEM” field plus 3 years of experience in data analytics, or PhD in “STEM” field
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Principal Associate, Data Science – Model Risk Office

Key skills