Senior Data Scientist, Operational Risk & AI Innovation

Capital One; McLean (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist in Operations Risk Management to leverage Python, SQL, and ML techniques on large-scale data. You will collaborate with data scientists, software engineers, and product managers to deliver risk insights and data-driven decisions that influence executive-level risk governance.

The role emphasizes building/discovering opportunities using NLP and AI-powered methods, translating results into business outcomes, and operating in a fast-paced,

Qualifications

• Bachelor's degree in a quantitative field with 2+ years of data analytics experience.
• Master's degree in a quantitative field or MBA with a quantitative concentration.
• Strong programming in Python, Scala, or R.

Responsibilities

• Partner with cross-functional teams to deliver data-driven risk insights.
• Build ML models and evaluate them end-to-end.
• Translate complex analyses into tangible business goals.
• Work with large-scale data across cloud platforms.

Skills

Python

SQL

R

Machine Learning

Education

Bachelor's degree in a quantitative field

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

Tools

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Senior Associate, Data Scientist in Operations Risk Management to leverage Python, SQL, and ML techniques on large-scale data. You will collaborate with data scientists, software engineers, and product managers to deliver risk insights and data-driven decisions that influence executive-level risk governance.

The role emphasizes building/discovering opportunities using NLP and AI-powered methods, translating results into business outcomes, and operating in a fast-paced,