Build a Payment Fraud Detection Model

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Quick Overview

This question evaluates a candidate's competency in applied machine learning for payment fraud detection, covering data preprocessing, temporal train/validation/test splitting, missing-value and categorical handling, class-imbalance strategies, baseline modeling, and selection of appropriate evaluation metrics.

Build a Payment Fraud Detection Model

Company: Adyen

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: easy

Interview Round: HR Screen

Overview: This question evaluates a candidate's competency in applied machine learning for payment fraud detection, covering data preprocessing, temporal train/validation/test splitting, missing-value and categorical handling, class-imbalance strategies, baseline modeling, and selection of appropriate evaluation metrics.

Read the full Adyen Machine Learning Engineer interview experience this question came from

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Adyen
May 9, 2026
easyMachine Learning EngineerHR ScreenMachine Learning
35
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