7 Apr 2026

Analyst III (IT) (319003)

ABN AMRO Bank N.V.

Amsterdam

7 Apr 2026

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Lead Data Analyst role in Fraud Monitoring at ABN AMRO, focusing on advanced analytics, fraud detection, and mentoring team members. Requires a master's degree in a quantitative field, at least 3 years of analytical experience, and strong technical and communication skills. Offers a hybrid work environment, competitive salary, and benefits like a development budget and pension plan.

HybridFull-timeMid LevelData AnalysisStatistical Concepts

Analyst III (IT) (319003)

Apply

HybridFull-timeMid LevelData Analysis

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

At least 3 years of experience in an analytical role

Core Qualifications

Technical (Must-have)

Data analysisStatistical conceptsFraud detectionAnalytical rigorCritical thinking

Soft Skills

CommunicationTeamworkMentoringCritical thinkingLeadershipProblem solvingAdaptabilityCollaboration

Key Responsibilities

•Perform in-depth analyses to understand fraud patterns, attack vectors, seasonality, behavioural shifts, and detection performance across payment channels.
•Evaluate the strength of proposed detection logic and identify when ideas are overly narrow, unsupported by evidence, or prone to false positives.
•Assess the value and reliability of data fields and signals used in fraud detection.
•Guide Fraud Experts and junior analysts in applying good analytical practices and critical thinking.
•Coach colleagues on interpreting data responsibly and understanding basic statistical concepts.
•Partner with Data Scientists to transform analytical insights into hypotheses, experiments, and feature ideas for model development.
•Act as a bridge between domain experts and technical experts.
•Identify opportunities to improve how we measure fraud impact, effectiveness of controls, and operational efficiency.
•Drive improvements in how we use data in the team focusing on quality, clarity, and insight.

Lead Data AnalystFraud MonitoringAnalyticsBankingCapital MarketsHybridFull-timeMid LevelData AnalysisStatistical Thinking

Key Responsibilities

•Perform in-depth analyses to understand fraud patterns, attack vectors, seasonality, behavioural shifts, and detection performance across payment channels.

•Evaluate the strength of proposed detection logic and identify when ideas are overly narrow, unsupported by evidence, or prone to false positives.

•Assess the value and reliability of data fields and signals used in fraud detection.

•Guide Fraud Experts and junior analysts in applying good analytical practices and critical thinking.

•Coach colleagues on interpreting data responsibly and understanding basic statistical concepts.

•Partner with Data Scientists to transform analytical insights into hypotheses, experiments, and feature ideas for model development.

•Act as a bridge between domain experts and technical experts.

•Identify opportunities to improve how we measure fraud impact, effectiveness of controls, and operational efficiency.

•Drive improvements in how we use data in the team focusing on quality, clarity, and insight.