1 week ago

Data Analyst - Fraud Monitoring

ABN AMRO Bank N.V.

Amstelveen

1 week ago

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ABN AMRO's Channel Security team is seeking a Data Analyst for Fraud Monitoring in Amstelveen. The role involves deep-dive analysis, evaluating detection logic, and mentoring colleagues to improve analytical rigor. Requires a master's degree in a quantitative field, strong SQL and Python skills, and at least 2 years of analytical experience.

HybridFull-timeMid LevelSQLPython

Data Analyst - Fraud Monitoring

Apply

HybridFull-timeMid LevelSQL

Salary

Not specified

Work Location

Amstelveen, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

2 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

SQLPythonPySparkData VisualizationScrumAgile

Soft Skills

Critical ThinkingMentoringCommunicationProactiveProblem Solving

Key Responsibilities

•Perform in-depth analyses to understand fraud patterns, attack vectors, seasonality, behavioral shifts, and detection performance across payment channels.
•Evaluate the strength of proposed detection logic (features, thresholds, rules) 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.
•Help ensure our reasoning, conclusions, and decisions are analytically sound and well-supported.
•Coach colleagues on interpreting data responsibly, avoiding common analytical pitfalls, and understanding basic statistical concepts such as variance, sample bias, and signal strength.
•Promote a culture of analytical rigor — ensuring the team adopts more mature, data-driven ways of working.
•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, ensuring clear understanding on both sides.
•Be decisive in bringing data driven insights to production system to maximize the impact in safeguarding customers.
•Identify opportunities to improve how we measure fraud impact, effectiveness of controls, and operational efficiency.

Data AnalystFraud MonitoringBankingAnalyticsSQLPythonPySparkHybridFull-timeABN AMRO

Key Responsibilities

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

•Evaluate the strength of proposed detection logic (features, thresholds, rules) 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.

•Help ensure our reasoning, conclusions, and decisions are analytically sound and well-supported.

•Coach colleagues on interpreting data responsibly, avoiding common analytical pitfalls, and understanding basic statistical concepts such as variance, sample bias, and signal strength.

•Promote a culture of analytical rigor — ensuring the team adopts more mature, data-driven ways of working.

•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, ensuring clear understanding on both sides.

•Be decisive in bringing data driven insights to production system to maximize the impact in safeguarding customers.

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