Senior Data Scientist, Model Risk & GenAI Governance

Capital One; Virginia; Hybrid; USD 123,000 - 155,000; Full time

Job summary

Capital One Senior Associate, Data Scientist - Model Risk Office is a data-focused role crafting risk-aware models and governance across enterprise systems.

The candidate will collaborate with data scientists, software engineers, and product managers to quantify model risks, build ML solutions, and communicate findings to executives while advancing GenAI risk governance and openness to new tech.

Qualifications

• Bachelor's degree in a quantitative field plus 2 years analytics
• Master's degree in a quantitative field or MBA with quantitative concentration
• Experience with AWS
• At least 2 years' experience in Python, Scala, or R for large-scale data analysis
• At least 2 years' experience with machine learning

Responsibilities

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

Skills

Python

Scala

R

AWS

Machine Learning

Big Data

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

MBA with quantitative concentration

Tools

PyTorch

Hugging Face

LangChain

Vector Databases

LLMOps

Job description

Capital One Senior Associate, Data Scientist - Model Risk Office is a data-focused role crafting risk-aware models and governance across enterprise systems.

The candidate will collaborate with data scientists, software engineers, and product managers to quantify model risks, build ML solutions, and communicate findings to executives while advancing GenAI risk governance and openness to new tech.