About the company
inDrive is a global ride-hailing company with products in ride-hailing, delivery, and city-to-city.
Responsibilities
- 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
Requirements
- Experience in fraud analysis, risk management, or similar role
- Strong SQL and Python skills
- Knowledge of fraud detection techniques and tools
- Experience with data analysis and visualization
- Understanding of ride-hailing or delivery business is a plus