About the role

We are seeking an attentive and proactive Fraud Rules Analyst to drive the continuous improvement of our financial crime detection and prevention capabilities. Your primary responsibility will be to keep the lowest Fraud rate and Distrurb rate by improving the rule model accuracy. Analyze and evolve complex data structures to identify weaknesses in current detection logic, and design rule-based and data-driven enhancements to increase precision, reduce false positives, and protect our customers. You will work across Fraud, AML, Compliance, Product, Engineering, and Investigations to optimize detection rules, investigate new attack patterns, and support the evolution of our automated defense systems. Join our team and help us buildan industry-leading financial crime setup.

Your mission

• Own the fraud rule optimization pipeline end-to-end: generate hypotheses, validate them with data, design rules, coordinate implementation with Engineering, and monitor performance post-launch.
• Conduct deep analysis of transaction and behavioral data using SQL to identify fraud patterns and gaps in current detection logic.
• Design, test, and refine fraud detection rules in our decision engine to improve true positive rates and reduce false positives.
• Monitor rule performance through analytics dashboards, investigate accuracy drops, and proactively adjust logic to maintain effectiveness.
• Analyze fraud feedback loops from law enforcement, partners, and internal investigations to identify emerging threats and update detection strategies.
• Collaborate with Engineering to translate rule logic into clear, unambiguous technical requirements for implementation.
• Prepare visual reports on fraud trends, rule effectiveness, and key metrics (fraud rate, disturb rate, alert precision).
• Gradually expand ownership to Money Laundering detection rules and processes.

Your profile

• 2+ years of hands-on experience in Fraud, AML, or Financial Crime investigations within fintech, payments, or banking.