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πŸ“‹ Description

  • Continuously refine and modernize credit underwriting strategies using advanced analytics to
  • Analyze historical loan performance data to model credit expansion initiatives, identify new
  • Perform root-cause analyses on credit losses and default trends, partnering with Fraud Risk
  • Develop valuation models to estimate segment-level economics and advise Capital Markets on yield
  • Partner with Product, Engineering, and Data Science to design A/B tests that balance risk control
  • Track and validate pre- and post-implementation performance for all deployed credit management rule

🎯 Requirements

  • Bachelor's/Master's degree with a quantitative background (e.g., Statistics, Math, Economics
  • 5+ years in credit risk management or data science within consumer lending.
  • Comfortable working in a fast-moving, evolving environment where priorities shift and initiatives
  • Self-driven, with intense focus on results. Strong curiosity with proven track record of probing
  • Strong analytical and problem-solving skills, combined with solid business judgment.
  • Clear communicator who can translate complex data into simple, actionable insights.

🎁 Benefits

  • Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees
  • Company HSA, FSA, Dependent Care FSA, and 401(k) benefits.
  • Employer-paid life and disability insurance.
  • 11 observed holidays and flexibility plan.
  • Up to 12 weeks of paid family leave.
  • Continuing education reimbursement.
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