Lead Data Analyst
ABN AMRO Bank N.V.
Lead Data Analyst
ABN AMRO's Channel Security team is seeking a Lead Data Analyst for its Fraud Monitoring division in Amsterdam. The role involves deep-dive analysis of fraud patterns, methodological leadership to advance analytics maturity, and collaboration with fraud experts and data scientists. Candidates need strong SQL and Python skills, a quantitative master's degree, and at least 3 years of analytical experience.
Lead Data Analyst
ABN AMRO's Channel Security team is seeking a Lead Data Analyst for its Fraud Monitoring division in Amsterdam. The role involves deep-dive analysis of fraud patterns, methodological leadership to advance analytics maturity, and collaboration with fraud experts and data scientists. Candidates need strong SQL and Python skills, a quantitative master's degree, and at least 3 years of analytical experience.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
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 (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.
- Guide Fraud Experts and junior analysts in applying good analytical practices and critical thinking.
- 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.
- Identify opportunities to improve how we measure fraud impact, effectiveness of controls, and operational efficiency.