Anti-Fraud Analyst

inDrive is seeking an Anti-fraud Officer to own detection and investigation of fraud across our ride-hailing, delivery and city-to-city products: Ban evasion through multi-accounting, GPS spoofing, ride manipulation, promo and referral abuse, payment fraud, driver–passenger collusion etc.

Analyze transactional and behavioral data using SQL and Python to identify suspicious patterns and emerging fraud schemes
Develop, tune, and improve fraud detection rules and anti-fraud dashboards
Evaluate the quality and effectiveness of detection rules by tracking precision and other key performance metrics
Manage fraud cases end-to-end , from identifying suspicious activity to investigation, documentation, and escalation of confirmed incidents
Conduct risk assessments of new and existing product features in collaboration with Product teams
Analyze and monitor fraud losses , identify key sources of losses, and develop plans to reduce them
Propose and implement fraud risk mitigation measures together with Product and other cross-functional teams

2+ years of experience in anti-fraud, risk analytics, or a related analytical field
Strong proficiency in SQL and Python for analyzing large datasets
Solid understanding of statistics and the ability to apply statistical methods to behavioral analysis and anomaly detection
Experience working with data and the ability to independently identify suspicious patterns and formulate hypotheses
Strong analytical thinking, attention to detail, and a structured approach to investigations
Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations
English — B2 or higher