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Lead Data Analyst, MyPay

152k – 210kChicago, ILNew York, NYSan Francisco, CAHybrid7+ YOE
Summary

Lead Data Analyst driving credit risk strategy for MyPay, owning underwriting, limit assignment, and loss forecasting. Manages a team of analysts and partners cross-functionally to optimize risk/reward trade-offs using advanced analytics and experimentation.

About the role

In this role, you can expect to

  • Drive Risk Strategy: Support the end-to-end credit risk lifecycle for the MyPay product, including underwriting policies, dynamic limit assignments, and repayment strategies.
  • Lead Experimentation: Design, execute, and analyze rigorous A/B tests to optimize credit limits, user experience, and risk/reward trade-offs.
  • Leverage Data Science: Utilize advanced statistical modeling and data science techniques to identify new risk signals, improve predictive models, and automate risk decisioning.
  • 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.
  • Monitor & Report: Develop robust dashboards and reporting frameworks to track portfolio performance, loss metrics, and the financial health of the MyPay program.

To thrive in this role, you have

  • Experience: 7+ years of experience in credit risk, data science, or advanced analytics, preferably within consumer lending, fintech, or earned wage access (EWA).
  • Technical Expertise: Expert-level proficiency in SQL for complex data extraction and manipulation. Strong programming skills in Python (Pandas, NumPy, Scikit-learn) for data analysis and predictive modeling.
  • Experimentation Mastery: Deep hands-on experience designing, launching, and analyzing A/B tests and multivariate experiments, with a strong grasp of underlying statistical concepts.
  • Domain Knowledge: Solid understanding of consumer credit risk principles, loss forecasting, and unit economics.
  • Communication: Exceptional ability to translate complex data and technical concepts into actionable, high-level strategies for executive stakeholders.

Compensation & Benefits

  • Base salary: $152,000 - $210,000
  • Eligible for bonus, competitive equity package, and benefits
  • 401k match plus medical, dental, vision, life, and disability benefits
  • Generous vacation policy and company-wide paid days off
  • Up to 24 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents
  • Annual wellness stipend
  • 1% of time off to support local community organizations
Skills
SQLPythonPandasNumPyScikit-learnA/B testingStatistical modelingCredit risk analysisLoss forecastingData visualization
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