Senior Credit Manager

SoFi SoFi · Fintech · San Francisco, CA · Risk Management

This role focuses on developing and implementing credit risk strategies and models for SoFi's lending products, particularly Personal Loans. It involves analyzing data, monitoring risk trends, and collaborating with cross-functional teams to control risk and drive performance outcomes. The ideal candidate has a strong data-driven analytics background and experience in consumer lending.

What you'd actually do

  1. Innovate… Bring your brightest ideas to build algorithmic risk strategies. This means you will architect credit underwriting, pre-screen targeting, and risk tier assignment.
  2. Data Driven… Your deep analysis will power the future of lending with an optimal real-time data ecosystem – including multi-product internal, bureau, third-party, and alternative data sources and uses.
  3. Iterate, learn, innovate… We are all responsible for innovation and must embrace a test-and-learn mentality and data-driven decision making.
  4. Collaborate… Work collaboratively with business partners such as Business Units, Operations, Marketing, Finance, Legal and Compliance to deliver successful business results. Partner closely with implementation teams to accurately drive new strategies to production.
  5. Control the Risk and Drive Performance Outcomes … Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.

Skills

Required

  • 7+ years of related experience
  • Business acumen and work experience in the consumer lending business (loans or credit cards)
  • Direct experience in the credit strategy analytical life cycle, including strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring
  • Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems
  • Proficient data exploration and credit modeling skills in Excel, SQL and Python
  • A demonstrated ability to synthesize and communicate analysis to business partners and senior management
  • Results-driven, eager to learn, and able to work collaboratively in a fluid environment
  • Knowledge/skills in analytical and modeling techniques such as decision trees, regression, logistic regression, test design

Nice to have

  • 7+ years of personal loan credit risk experience
  • Experience in developing credit strategies using innovative data sources such as cash flow or alternative data
  • Advanced degree (Master’s or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science

What the JD emphasized

  • consumer lending business
  • credit strategy analytical life cycle
  • sophisticated analysis
  • credit modeling skills
  • analytical and modeling techniques