Senior Data Scientist, Model Risk & GenAI

Capital One Group; Virginia, Northern (MN, KY); Hybrid; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist to join the Model Risk Office. You will collaborate with data scientists, engineers, and product managers to quantify model risks and improve governance across domains.

You will build and validate ML models using PyTorch, Hugging Face, LangChain, and vector databases, and present findings to executives to influence risk decisions and strategy.

Qualifications

• Bachelor's degree in a quantitative field plus 2 years data analytics experience.
• Master's degree in a quantitative field or MBA with quantitative concentration
• Experience with AWS and Python/Scala/R for large-scale data analysis.
• Master’s Degree or PhD in STEM is preferred.

Responsibilities

• 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 from PyTorch and Hugging Face to LangChain, vector databases, and LLMOps to reveal insights from large multi-modal data.
• Build machine learning models to challenge existing production models and contribute to the model governance framework.
• Validate models across multiple business domains and present model risks and potential business impact to executives.

Skills

Python

Scala

R

AWS

Machine learning

Statistical modeling

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA with quantitative concentration

Master’s Degree or PhD in STEM

Tools

PyTorch

Hugging Face

LangChain

Vector Databases

Job description

Capital One is seeking a Senior Associate, Data Scientist to join the Model Risk Office. You will collaborate with data scientists, engineers, and product managers to quantify model risks and improve governance across domains.

You will build and validate ML models using PyTorch, Hugging Face, LangChain, and vector databases, and present findings to executives to influence risk decisions and strategy.