Credit Risk Oversight Director - Student Loans & Rcsa
SoFi Technologies
United States
Base pyy range listed; final offer based on experi...
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10+ years consumer lending experience
Student lending or unsecured loans background
Proficiency in sql, python, and excel
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SoFi Technologies is seeking a Credit Risk Oversight Director for their Student Loans division, responsible for managing credit risk across various lending products. The ideal candidate should possess extensive experience in consumer lending, strong analytical skills, and a proactive approach to strategy enhancement.
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Job Summary
The role involves overseeing credit risk activities for Student Lending products while challenging strategy proposals to ensure alignment with the company's risk appetite.
Candidates must possess strong analytical skills to conduct sophisticated analysis using customer performance data and third-party variables to solve business problems.
SoFi is a next-generation financial services company committed to helping members reach their financial goals through innovative, mobile-first technology.
Matching Summary
Match Score: 75
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SoFi Technologies is seeking a Credit Risk Oversight Director for their Student Loans division, responsible for managing credit risk across various lending products. The ideal candidate should possess extensive experience in consumer lending, strong analytical skills, and a proactive approach to strategy enhancement.
**
Salary
Base pay range listed; Final offer based on experience, skills, and location; Comprehensive benefits available
Skills & Requirements
Must-have
10+ years consumer lending experience
Student lending or unsecured loans background
Proficiency in SQL, Python, and Excel
Experience with credit strategy analytical life cycle
Advanced data analysis using bureau attributes
Nice-to-have
Innovative data sources like cash flow
Master's or PhD in quantitative field
Test-and-learn mentality
Cross-functional partnership skills
Alternative data modeling experience
Key Requirements
10+ years of related experience
Direct experience in credit strategy analytical life cycle
Proficient in decision trees, regression, and logistic regression
Advanced degree preferred in Statistics, Mathematics, Engineering, or Computer Science