Lead Data Scientist, Credit Risk

Added
1 minute ago
Type
Full time
Salary
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Related skills

looker sql python machine learning excel
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πŸ“‹ Description

  • Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant
  • Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open
  • Design and continuously iterate acquisition, loan amount / line assignment, pricing, line
  • Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite
  • Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and
  • Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage

🎯 Requirements

  • A Master's degree (required) in Statistics, Economics, Engineering, Math, Finance, Computer
  • 7+ years of analytical or data science experience in Financial Services, preferably at a FinTech
  • 4+ years of experience building and managing risk for unsecured credit products such as installment
  • Hands-on experience with credit bureau data and prescreen, pre-approval, or direct mail credit
  • Experience with credit furnishing, bankruptcies, delinquency, and write-off policies, and working
  • Excellent SQL and Python skills, advanced Microsoft Excel skills, and experience working in Looker

🎁 Benefits

  • Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of
  • Generous vacation policy and company-wide paid days off
  • Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for
  • Annual wellness stipend to use towards eligible wellness related expenses
  • Access to family planning reimbursement
  • 1% of your time off to support local community organizations of your choice
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