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Intercontinental Exchange Data Scientist Interview Questions

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

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1
Machine LearningStart here. 3 questions · ~25 min
Staircase Ways AlgorithmMedium

Tests your ability to translate a combinatorics problem into an efficient algorithmic solution in Python.

Dynamic ProgrammingIntercontinental Exchange
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2
SQL & Data Manipulation3 questions + 3 drills · ~55 min
Average Trade Volume Per DayMedium

Tests SQL aggregation and time-based grouping for trade analytics.

sql queryIntercontinental Exchange
Second Highest Trader SalaryEasy
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Recently asked
Practice drill

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingeClinicalWorksNNeenOpal CanadaInformatica
Rolling 30-Day Latency SQLHard
Practice
Practice drill

Calculate 30-day rolling delivery latency averages for each regional hub and vendor tier.

Date FunctionsData Manipulationsql queryMeta
Top 5 Shows by RegionMedium
Practice
Practice drill

Aggregate watch minutes and rank the five most-watched shows within each region.

Data Manipulationsql queryData AnalysisDDisney+HotStar
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3
Product Sense4 questions · ~33 min
Bond Prices and Interest RatesMedium

Tests understanding of core fixed-income market relationships.

Intercontinental Exchange
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4
Behavioral & Leadership6 questions · ~49 min
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5
More topics6 questions · ~49 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceIntercontinental Exchange
Define Success Metrics for FeaturesMedium
Recently asked

Set a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.

North Star MetricLagging IndicatorsKPIsIntercontinental Exchange
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchIntercontinental Exchange
Memory-Efficient Financial Log ProcessingHard

Tests system design and performance optimization for large financial datasets.

performanceIntercontinental Exchange
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisIntercontinental Exchange
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