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Goldman Sachs Asset & Wealth Management Quantitative Analyst Interview Questions

The questions to prepare for a Goldman Sachs Asset & Wealth Management Quantitative Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 10 questions · ~91 min
Detect Recurring DivisionMedium
Practice

Convert an exact fraction into canonical decimal notation with recurring digits marked using remainder cycle detection.

divisionGoldman Sachs Asset & Wealth Management
Analyze Time and Space ComplexityEasy

Explain how to derive time and space complexity for a coding solution and justify the final Big O bounds.

Hash TablesArraysSortingGoldman Sachs Asset & Wealth Management
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2
Statistics & Probability6 questions · ~55 min
Correlation vs IndependenceMedium

Assesses statistical understanding of dependence versus correlation.

CorrelationindependenceGoldman Sachs Asset & Wealth Management
LeetCode Probability and StatsMedium

Evaluates ability to apply probability and statistics methods to coding questions.

probabilitystatisticsGoldman Sachs Asset & Wealth Management
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3
Behavioral & Leadership3 questions · ~27 min
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4
More topics5 questions · ~46 min
Adjust Portfolio WeightsHard

Evaluates portfolio reasoning under changing correlation and weight adjustments.

CorrelationGoldman Sachs Asset & Wealth Management
Tree and Regression ReasoningMedium

Evaluates ability to combine probabilistic reasoning with regression concepts and data structures.

linear regressionTreesGoldman Sachs Asset & Wealth Management
SQL Extraction and ComputationMedium

Assesses ability to manipulate semi-structured data and compute derived metrics.

data extractionGoldman Sachs Asset & Wealth Management
Portfolio Model TradeoffsMedium

Evaluates understanding of derivatives modeling assumptions and practical usage.

Financial ModelingGoldman Sachs Asset & Wealth Management
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Separating Two Bell DistributionsMedium
Practice
Practice drill

Separate two overlapping populations by estimating a boundary from labeled data.

probabilityMachine Learningcomplex queriesApplied Materials
Top 10 Students by GPA SQLEasy
Practice
Practice drill

Return the 10 highest-GPA students with deterministic ordering and null GPA exclusion.

RankingSortingdatabase queryingUniversity of UtahSyracuse University
SQL and LeetCode Coding BasicsEasy
Practice
Practice drill

Return the first three easy programming questions from a question bank in ascending ID order.

leetcodeData ManipulationProgrammingBNSF Railway
The finish line: interview-readyComplete all 24 questions plus 3 hands-on drills to finish this plan.