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Munich Reinsurance America Financial Analyst Interview Questions

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

50questions
~7htotal time
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1
StrategyStart here. 3 questions · ~24 min
Tell Me About YourselfEasy

Tests your ability to deliver a clear, relevant introduction tailored to the role at Aqr.

Competitive AnalysisGo-to-MarketMunich Reinsurance America
Insurance Product Choice for InsurersMedium

Assesses your product thinking and ability to connect market needs to financial outcomes.

Munich Reinsurance America
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2
Finance & Accounting9 questions · ~72 min
Lapse Rates and Reserve MovementsHard

Assesses your ability to connect actuarial assumptions to reserve changes in financial reporting.

Munich Reinsurance America
Pricing Assumptions for AnnuitiesHard

Assesses your understanding of actuarial assumptions and how they drive pricing outcomes.

Munich Reinsurance America
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3
Behavioral & Leadership34 questions · ~272 min
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4
More topics4 questions · ~32 min
Buhlmann Credibility and Mortality TablesHard

Evaluates advanced actuarial statistics reasoning and problem-solving with credibility models.

Munich Reinsurance America
Group By vs Where ByMedium

Assesses your SQL fundamentals and ability to reason about query execution order.

sqlMunich Reinsurance America
Metrics Question: Vaccines IssuedMedium

Evaluates estimation skills and your ability to structure an answer to an ambiguous metrics question.

Data AnalysisMunich Reinsurance America
Life Industry TrendMedium

Evaluates your market awareness and ability to connect trends to insurance decisions.

industry trendsMunich Reinsurance America
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Rank Within DepartmentsEasy
Practice
Practice drill

Use RANK and a department join to return employees at salary rank two within Munich Reinsurance America departments.

sqlsalaryMunich Reinsurance AmericaMunich Re
Flag Suspicious Lyft Trip CardsMedium
Practice
Practice drill

Use joins, CTEs, aggregations, and CASE logic to flag payment cards with anomalous Lyft trip activity.

Data AnalysisRisk Managementanomaly detectionLyft
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.