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Updated weekly · Last refresh Oct 17

Morgan Stanley Data Scientist Interview Questions

The questions to prepare for a Morgan Stanley Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
Machine LearningStart here. 3 questions · ~25 min
Handle Highly Imbalanced ClassesMedium

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

Cross-ValidationFeature EngineeringSupervised LearningMorgan Stanley
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2
Statistics & Probability3 questions · ~25 min
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesMorgan Stanley
Dependent Event ProbabilityMedium

Tests your ability to apply probability theory to dependent events in financial contexts.

probabilityExpected ValueConditional ProbabilityMorgan Stanley
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3
Behavioral & Leadership10 questions · ~82 min
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4
More topics6 questions · ~49 min
Design Real-Time Fraud Risk ScoringHard

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

Feature StoreFeature DriftModel ServingMorgan Stanley
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisMorgan Stanley
SQL Rolling Average and RankingMedium

Tests practical SQL window function skills for customer analytics and risk-related reporting.

Window FunctionsRankingRunning TotalsMorgan Stanley
A/B Test for Fraud AlertsHard

Tests experimental design skills and awareness of failure modes in fraud/risk monitoring.

experiment designGuardrail Metricsprimary metricsMorgan Stanley
Volatility Model Validation Without LeakageHard

Tests your ability to design leakage-resistant evaluation pipelines for market risk models.

Cross-ValidationEvaluation TechniquesClassificationMorgan Stanley
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Clients by Region SQLMedium
Practice
Practice drill

Find the top three spending clients in each region during the previous calendar quarter.

Window FunctionsDate Functionsfinancial dataMorgan Stanley
Optimizing a Slow QueryMedium
Practice
Recently asked
Practice drill

Rewrite a slow PostgreSQL reporting query to reduce scanned rows, avoid join multiplication, and return accurate monthly site metrics.

Subqueriesdatabase optimizationJoinsContinental FinanceCapgeminiDISH
SQL IndexingHard
Practice
Recently asked
Practice drill

Use a representative PostgreSQL query to evaluate indexing choices for active accounts and recent trade orders.

database optimizationlarge datasetsindexesMorgan Stanley
The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.