Senior Manager, Data Science - Model Risk

Capital One National Association; Chicago (IL); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Senior Manager, Data Science for the Model Risk Office. The role partners with data scientists, engineers, and product managers to build governance around models used in underwriting Capital One’s flagship credit card products.

The ideal candidate will lead ML development across design, training, evaluation, validation, and implementation, using Python, AWS, and modern tools to deliver business impact.

Qualifications

• Bachelor's degree plus 7 years analytics experience.
• Master's degree or MBA with quantitative concentration plus 5 years analytics.
• PhD plus 2 years analytics experience.
• At least 2 years of experience with open source programming languages.
• At least 2 years of experience with machine learning.
• At least 2 years of experience utilizing relational databases.

Responsibilities

• Partner with cross-functional teams to deliver a data science product.
• Leverage Python, AWS, Spark, and related tools to extract insights from large data.
• Build ML models from design through deployment and evaluation.
• Translate complex work into clear business goals.

Skills

Open source languages

Machine learning

Relational databases

Python

Scala

R

Education

Bachelor's degree in quantitative field

Master's degree or MBA with quantitative focus

PhD in quantitative field

Tools

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Senior Manager, Data Science for the Model Risk Office. The role partners with data scientists, engineers, and product managers to build governance around models used in underwriting Capital One’s flagship credit card products.

The ideal candidate will lead ML development across design, training, evaluation, validation, and implementation, using Python, AWS, and modern tools to deliver business impact.