Munich Reinsurance America Data Scientist Interview Questions

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

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Interpretable GLM vs XGBoost

Medium

Tests model selection reasoning under regulatory constraints and interpretability needs.

Ensemble MethodsRegularizationModel Evaluation

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Rolling Average in SQL and Python

Medium

Tests time-series feature engineering using SQL windowing and Python logic.

Date FunctionsRunning TotalsTime Series

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Pitfalls in Insurance Experiments

Hard

Tests understanding of experiment validity threats in insurance operations.

Network InterferenceNovelty EffectSample Ratio Mismatch

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North Star and KPI Framework

Medium

Tests ability to define actionable metrics and KPI hierarchies for insurance decision tools.

North Star MetricFeature PrioritizationKPI

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Test Statistical Significance of Rate Changes

Medium

Tests statistical testing and correct interpretation of rate changes in insurance metrics.

Hypothesis TestingStatistical SignificanceP-Values

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Diagnose Train vs Test Gap

Medium

Tests debugging of overfitting, data issues, and evaluation methodology.

Cross-ValidationEvaluation TechniquesBias-Variance Tradeoff

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