Robinhood
Mid
Drive credit card growth strategy at Robinhood using NPV modeling and acquisition experimentation
Robinhood is hiring a Credit Business Analyst to own a portion of the credit card growth strategy, working across credit, product, and operations to run acquisition campaigns backed by NPV modeling and SQL/Python analysis. Expect questions on quantitative growth strategy, experimentation rigor, and cross-functional execution in a lending context.
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What this interview tests
- Credit card / lending acquisition and growth strategy
- NPV modeling for customer mix decisions
- SQL and Python (Pandas, scikit-learn) for growth analytics
- Experimentation: test design and insight communication
- Cross-functional execution with Product, Ops, Legal, Compliance
- Independent problem-solving with ambiguous data
Common question themes
Design an NPV-based approach to grow the credit card customer base without degrading risk mix
Walk through a SQL/Python analysis you'd run to evaluate a card acquisition campaign
Describe a growth experiment: design, confounders, and how you communicated results
Balancing acquisition volume growth against credit risk in a lending product
Working with Legal/Compliance constraints on a growth initiative
Example of proposing and driving a solution with no existing playbook
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