Factset GenAI Engineer Interview Questions

The questions to prepare for a Factset GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.

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Handling Missing Values in ML

Easy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularization

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Feature Selection in Supervised Learning

Medium

Explain a practical approach to feature selection, including filtering, embedded methods, and validation against overfitting.

Feature EngineeringDeep LearningSupervised Learning

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Two Sum Target Problem

Easy

Tests problem-solving and coding ability for common array algorithms.

Hash TablesArraysTwo Pointers

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Collaborative Filtering Recommender

Medium

Tests system design and algorithmic thinking for building recommender systems.

RetrievalModel ServingRecommendation Systems

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Fraud Detection AI System Design

Hard

Tests system design skills for ML-driven fraud detection in a financial data context.

Feature StoreFeature DriftModel Serving

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Evaluating Model Performance

Easy

Tests understanding of evaluation metrics, validation strategy, and diagnosing model quality.

PrecisionAccuracyRecall

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