Senior Associate Data Scientist – Model Risk & GenAI

Capital One; Chicago (IL); On-site; USD 123,000 - 141,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist in the Model Risk Office to lead quantitative modeling and risk assessment across multiple domains. You will collaborate with data scientists, engineers, and product managers to quantify model risks and inform decision-makers.

The role emphasizes hands-on ML development, governance, and communicating complex results to executives, across a scalable analytics stack in a data-rich environment.

Qualifications

• Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
• Master's degree in quantitative field or MBA with a quantitative concentration.
• Preferred: STEM master's or PhD.
• Experience with AWS.
• 2+ years' experience in Python/Scala/R for large-scale data analysis.
• 2+ years' experience with machine learning.

Responsibilities

• Partner with cross-functional team to identify and quantify model risks.
• Leverage broad tech stack to reveal insights from large multi-modal data.
• Build ML models and contribute to model governance framework.
• Validate models across multiple business domains and present risks to executives.

Skills

Python

Scala

R

AWS

Data analytics

Machine learning

Statistics

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

Tools

PyTorch

Hugging Face

LangChain

Vector Databases

LLMOps

Job description

Capital One is seeking a Senior Associate, Data Scientist in the Model Risk Office to lead quantitative modeling and risk assessment across multiple domains. You will collaborate with data scientists, engineers, and product managers to quantify model risks and inform decision-makers.

The role emphasizes hands-on ML development, governance, and communicating complex results to executives, across a scalable analytics stack in a data-rich environment.