Data Analyst – Anti-Fraud

About the role

You’ll be the first dedicated data analyst inside the Anti‑Fraud team, focusing on credit and card fraud. You will conduct in‑depth investigations of high‑risk fraud alerts and complex cases, using SQL and internal systems to uncover patterns that a case‑by‑case view misses.

Key responsibilities

• Conduct in‑depth investigations of high‑risk fraud alerts and complex fraud cases using SQL, internal systems, and multiple data sources.
• Analyze transactional, customer, device, and behavioral data to identify fraud schemes, emerging trends, and suspicious patterns.
• Develop and maintain analytical reports, dashboards, and fraud performance metrics for management and operational teams.
• Identify new fraud typologies and recommend enhancements to fraud detection rules and monitoring controls.
• Perform ad‑hoc data analysis to support fraud investigations and business requests.
• Collaborate with Fraud Operations, Risk, Product, Engineering, and Compliance teams to improve fraud prevention processes.
• Evaluate the effectiveness of existing fraud rules and recommend optimizations to reduce fraud losses while minimizing false positives.
• Support root‑cause analysis of fraud incidents and propose preventive measures.

Required profile

• Strong SQL skills with the ability to work through large, complex datasets.
• Experience in data analysis, fraud analytics, risk analytics, or financial crime investigations.
• Genuine curiosity for data and persistence in investigating challenging cases.
• Strong communication skills to present findings to technical peers and business and compliance stakeholders.
• Comfortable being the first person in a growing function without a fixed playbook.
• Knowledge of banking, fintech, payment systems, or fraud prevention is an advantage.