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Updated weekly · Last refresh Oct 17

Trexquant Investment Data Engineer Interview Questions

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

18questions
~3htotal time
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1
CodingStart here. 3 questions · ~28 min
Rolling Average Without Built-insHard
Practice

Compute averages for fixed-size windows using a running sum and constant auxiliary memory.

aggregationArraysSliding WindowTrexquant Investment
Custom Z-Score With NumPyMedium

Tests numerical correctness and performance-aware implementation of normalization.

numpyArraysnormalizationTrexquant Investment
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2
Pipelines7 questions · ~64 min
Robust Web Scraper With Anti-ScrapingHard

Tests scraper resilience, anti-bot handling, and engineering for reliable data collection.

scalabilityTrexquant Investment
Missing Data in Daily IngestionMedium

Tests robustness to data quality issues and schema drift in production ingestion.

Data Qualityschema evolutionTrexquant Investment
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3
Behavioral & Leadership3 questions · ~28 min
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4
More topics5 questions · ~46 min
Normalize Data With PandasMedium

Assesses your ability to normalize tabular data correctly using pandas transformations.

pandasTrexquant Investment
Vectorization vs Pandas ApplyEasy

Tests performance intuition and ability to write efficient Pandas code.

performancetechnical experiencepythonTrexquant Investment
Testing Suite for Complex ParsersMedium

Tests test design for parsing correctness, regressions, and long-term data integrity.

Testingdata integrityQualityTrexquant Investment
Align Mismatched Timestamps in PandasMedium

Tests time-series join correctness and handling of real-world timestamp issues.

pandasData WranglingTime SeriesTrexquant Investment
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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
Do You Know Numpy and PandasEasy
Practice
Practice drill

Retrieve the NumPy and pandas definitions from a tool catalog using PostgreSQL filtering and ordering.

pandasnumpyData ManipulationNielsen
SQL Correlation With PandasMedium
Practice
Practice drill

Calculate Pearson correlation for each category while excluding incomplete value pairs.

missing valuespandasCorrelationBarclays
The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.