Fundbox Data Scientist Interview Questions

The questions to prepare for a Fundbox Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

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Design Real-Time Fraud Risk Scoring

Hard

Design a real-time fraud scoring system for card transactions with strict latency, delayed labels, and high availability requirements.

Feature StoreFeature DriftModel Serving

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Statistical Significance in Credit

Easy

Tests understanding of hypothesis testing and interpreting results for credit decisions.

Hypothesis TestingStatistical SignificanceP-Values

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Pitfalls in Credit Experiments

Hard

Tests ability to anticipate bias, confounding, and measurement issues in credit experiments.

experiment designNetwork InterferenceSample Ratio Mismatch

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Approach for debugging a model that looks strong offline but fails after deployment.

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Rolling 30-Day Default Rate in SQL

Medium

Tests SQL window function proficiency for time-based credit metrics.

Window FunctionssqlRunning Totals

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Lending Product Metrics and Guardrails

Medium

Tests ability to select credit, approval, and risk metrics and set safe operating guardrails.

MetricsGuardrail MetricsProduct Vision

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Diagnose Approval Rate Drops

Medium

Tests structured troubleshooting using metrics, segmentation, and risk indicators.

Diagnosiskpi hierarchy

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