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Trexquant Investment Quantitative Analyst Interview Questions

The questions to prepare for a Trexquant Investment Quantitative Analyst interview. Questions from real interview reports rank first. Updated daily.

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~5htotal time
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1
Finance & AccountingStart here. 4 questions · ~34 min
Sharpe Ratio CalculationMedium

Assesses your understanding of risk-adjusted performance metrics.

financial metricsTrexquant Investment
Portfolio Construction from Basket PricesMedium

Evaluates your portfolio construction approach from limited historical inputs.

Trexquant Investment
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2
Coding14 questions · ~119 min
Bash File Processing and Python CleaningMedium

Tests practical scripting and data cleaning skills across Bash and Python.

bashdata cleaningTrexquant Investment
Python Numerical Algorithm Coding TestHard

Tests your ability to implement and reason about numerical algorithms in Python.

pythonTrexquant Investment
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3
Machine Learning4 questions · ~34 min
Ridge vs Lasso and AlphaMedium

Assesses your understanding of regularization and your ability to connect ML methods to alpha research.

Trexquant Investment
Markov Chain Probability and LeetCodeMedium

Evaluates probabilistic modeling ability alongside practical coding performance.

AlgorithmsTrexquant Investment
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4
Behavioral & Leadership12 questions · ~102 min
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5
More topics2 questions · ~17 min
L1 Norm Cluster MinimizerHard

Assesses your understanding of optimization under the L1 norm.

ClusteringTrexquant Investment
VWAP Calculation in PandasMedium

Assesses your ability to compute a standard market metric correctly in Python.

pandasData AnalysisTrexquant Investment
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
Data Cleaning and Join DifferencesMedium
Practice
Practice drill

Clean inconsistent customer and order data, then demonstrate why a LEFT JOIN preserves customers without valid orders.

missing valuesdata cleaningJoinsDeloitte
Python and Data ManipulationMedium
Practice
Practice drill

Demonstrate data manipulation by cleaning records, aggregating valid values, and preserving users without qualifying records.

missing valuesdata cleaningData ManipulationMicro1
The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.