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Updated weekly · Last refresh Aug 30

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 weekly.

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1
Statistics & ProbabilityStart here. 3 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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2
Machine Learning3 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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3
Behavioral & Leadership11 questions · ~90 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
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
Monthly Revenue Running Totals by RegionMedium
Practice
Practice drill

Use joins, monthly aggregation, and window functions to compute running revenue totals and customer rank by region.

Window FunctionsRankingRunning TotalsNTT DATAAppfolio
Rolling 7-Day SQL RankingMedium
Practice
Practice drill

Compute calendar-based 7-day signal averages and rank NASA instruments within each mission group.

Window FunctionsRankingRunning TotalsNASANextera Energy Resources
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.