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# Senior Associate, Data Scientist - Operational Risk Management

- **Company:** Capital One Financial Corporation
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Data Retrieval, Python (Programming Language), Machine Learning, SQL Databases, Apache Spark, Generative AI, Data Analytics
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-associate-data-scientist-operational-risk-management-richmond-va-usa-58867413

## About the Role

Experteer Overview In this role you will advance operational risk analytics at scale, partnering with data scientists, engineers, and product managers to deliver actionable insights. You will apply machine learning to large datasets, including textual data, to improve risk management and efficiency. You'll experiment with new techniques, including NLP and Generative AI, and translate complex results into business impact. This is a hands-on, builder-focused position in a collaborative environment that values continuous learning and innovation. Compensation / Benefits * Collaborate with cross-functional teams to deliver data products that support risk decisions * Leverage Python, Conda, AWS, H2O, Spark to analyze large numeric and textual datasets * Develop machine learning models end-to-end from design to deployment * Translate complex analytical work into clear business goals and actions Tasks * Bachelor in quantitative field with 2+ years of data analytics experience OR Master in aa
Associate, field or MBA with quantitative concentration * Experience with AWS * At least 2 years of experience with Python, Scala, or R * At least 2 years of experience with machine learning * Experience with SQL and data retrieval from diverse sources Key requirements * health benefits * financial benefits * inclusive benefits

## Description

Experteer Overview In this role you will advance operational risk analytics at scale, partnering with data scientists, engineers, and product managers to deliver actionable insights. You will apply machine learning to large datasets, including textual data, to improve risk management and efficiency. You'll experiment with new techniques, including NLP and Generative AI, and translate complex results into business impact. This is a hands-on, builder-focused position in a collaborative environment that values continuous learning and innovation. Compensation / Benefits * Collaborate with cross-functional teams to deliver data products that support risk decisions * Leverage Python, Conda, AWS, H2O, Spark to analyze large numeric and textual datasets * Develop machine learning models end-to-end from design to deployment * Translate complex analytical work into clear business goals and actions Tasks * Bachelor in quantitative field with 2+ years of data analytics experience OR Master in quantitative field or MBA with quantitative concentration * Experience with AWS * At least 2 years of experience with Python, Scala, or R * At least 2 years of experience with machine learning * Experience with SQL and data retrieval from diverse sources Key requirements * health benefits * financial benefits * inclusive benefits


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