Senior Data Scientist, Operational Risk Analytics

Capital One Group; New York (NY); On-site; USD 148,000 - 169,000; Full time

Job summary

Capital One is seeking a Senior Associate Data Scientist for Operational Risk Management in New York, NY, with responsibilities spanning modeling, MLOps, and risk analytics. You will partner with data scientists, engineers, and product managers to turn data into strategic insights and risk improvements.

The role requires hands-on experience with Python/SQL and cloud platforms, applying NLP or generative AI techniques to real-world risk data at scale.

Qualifications

• Bachelor's or Master's in a quantitative field (Statistics, Economics, OR/MS, Analytics, Mathematics, CS) with required experience.
• Master's or MBA with quantitative concentration preferred.
• Experience with AWS, Python, ML, and SQL recommended.

Responsibilities

• Partner with cross-functional teams to deliver data science solutions.
• Leverage a broad tech stack (Python, Conda, AWS, H2O, Spark) to extract insights.
• Build ML models through design, training, evaluation, and deployment.
• Translate complex analyses into clear business outcomes.

Skills

Python

SQL

Machine Learning

AWS

R/Scala

NLP

Generative AI

Education

Bachelor's degree in a quantitative field

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

Tools

Python

Conda

AWS

H2O

Spark

Job description

Capital One is seeking a Senior Associate Data Scientist for Operational Risk Management in New York, NY, with responsibilities spanning modeling, MLOps, and risk analytics. You will partner with data scientists, engineers, and product managers to turn data into strategic insights and risk improvements.

The role requires hands-on experience with Python/SQL and cloud platforms, applying NLP or generative AI techniques to real-world risk data at scale.