Lead Data Analyst, Mypay

Chime Chime · Fintech · New York, NY · Risk

Lead Data Analyst for MyPay, Chime's earned wage access product. This role focuses on credit risk strategy, including underwriting, limit assignment, and loss forecasting. It involves leveraging data science techniques, designing and analyzing A/B tests, and managing a team of Data Analysts. The goal is to balance product growth with risk management and loss mitigation within the fintech domain.

What you'd actually do

  1. Drive Risk Strategy: Support the end-to-end credit risk lifecycle for the MyPay product, including underwriting policies, dynamic limit assignments, and repayment strategies.
  2. Lead Experimentation: Design, execute, and analyze rigorous A/B tests to optimize credit limits, user experience, and risk/reward trade-offs.
  3. Leverage Data Science: Utilize advanced statistical modeling and data science techniques to identify new risk signals, improve predictive models, and automate risk decisioning.
  4. Cross-Functional Collaboration: Partner closely with Product Management, Engineering, Data Science, and Finance to integrate risk strategies seamlessly into the member experience and align on financial targets.
  5. Monitor & Report: Develop robust dashboards and reporting frameworks to track portfolio performance, loss metrics, and the financial health of the MyPay program.

Skills

Required

  • SQL
  • A/B testing
  • consumer credit risk principles
  • loss forecasting
  • unit economics
  • statistical concepts
  • data extraction
  • data manipulation
  • risk strategy
  • data-driven solutions
  • advanced statistical modeling
  • data science techniques
  • predictive models
  • risk decisioning
  • dashboards
  • reporting frameworks

Nice to have

  • consumer lending
  • fintech
  • earned wage access (EWA)

What the JD emphasized

  • credit risk
  • loss mitigation
  • underwriting
  • limit assignment
  • loss forecasting
  • A/B tests
  • statistical modeling
  • data science techniques
  • risk signals
  • predictive models
  • risk decisioning
  • portfolio performance
  • loss metrics