Robinhood
Senior
Own credit policy and NPV modeling for Robinhood's credit card and lending programs
This role sets and optimizes credit policy (new-account underwriting, limit increases) and builds NPV valuation models for Robinhood's credit programs, based in Menlo Park with 3 days/week in office. Expect deep questions on Python/SQL-driven NPV and cashflow modeling, credit underwriting economics, and A/B test design and statistical interpretation (p-values, confidence intervals).
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What this interview tests
- NPV / cashflow modeling in Python, SQL, and Excel for credit card profitability
- Credit underwriting policy for new accounts and limit management
- Credit card economics and credit trend analysis
- A/B test design and correct statistical interpretation (p-value, confidence interval)
- Building large datasets in Python/SQL to analyze credit and banking customer performance
- Communicating credit strategy to senior leadership and external stakeholders
Common question themes
Walk me through building an NPV model for a credit card customer
How do you set or adjust a credit limit increase policy
Describe an A/B test you designed to refine a credit strategy and how you determined the winner
How do you use SQL/Python to build datasets assessing credit card customer performance
Tell me about a time you managed or influenced a lending program
How would you communicate a credit policy change to senior leadership
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