The role involves partnering cross-functionally with data scientists and engineers to ensure the soundness of Capital One's credit environment
Job Summary
The role involves partnering cross-functionally with data scientists and engineers to ensure the soundness of Capital One's credit environment.
Candidates will leverage technologies like Python, R, and AWS to identify weak spots in credit policies and develop new insights for underwriting standards.
The team focuses on defending against policy failures while investing in future skills and tools to avoid past mistakes.
Matching Summary
The role involves partnering cross-functionally with data scientists and engineers to ensure the soundness of Capital One's credit environment.
Skills & Requirements
Must-have
6+ years business analysis experience
Python and SQL programming proficiency
Bachelor's degree in quantitative field
Nice-to-have
Master's degree in Finance or Statistics
Experience with large data processes
Strong econometric and statistical techniques
Key Requirements
At least 6 years of work experience in business analysis
5+ years of experience in working on large data processes
8+ years of experience in business analysis (Preferred)
Proficiency in key econometric and statistical techniques
Work Rights
Must have US work authorization; no sponsorship available