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Jobs · Finance · Utah

Senior Credit Manager

SoFi · Cottonwood Heights, UT · 6 days ago
FinanceFull-time

What You'll Do

  • Innovate… Bring your brightest ideas to build algorithmic risk strategies.
    • This means you will architect credit underwriting, pre-screen targeting, and risk tier assignment.
  • 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.
  • Iterate, learn, innovate… We are all responsible for innovation and must embrace a test-and-learn mentality and data-driven decision making.
  • 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.
  • 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.
  • Challenge the Status Quo … Challenge others, continuously raise the bar, build better processes and attack hard problems to help us build the best products in the industry.
  • Grow, Grow, Grow!… Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members.

    What You'll Need

    • 7+ years of unsecured credit risk and data science 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
    • Advanced SQL and Python skills for segmentation and vintage analysis, PD/LGD/EAD risk modeling (e.g. decision trees, logistic regression) and back-testing, rapid prototyping, feature engineering and pipeline development/operationalization
    • A demonstrated ability to synthesize and communicate analysis to business partners and senior management
    • Results-driven analytical approach, eagerness to learn, and ability to work collaboratively in a fluid environment
    • Statistically rigorous experiment design and inferential evaluation
    • Experience in developing custom credit features using data sources such as internal cross-product data, bank transaction, and other alternative data
    • Advanced degree (Master’s or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science

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