Anti-Fraud Analyst, Information Security
Summary
Investigate and prevent fraud in ride-hailing and delivery services using SQL, Python, and statistical methods to detect suspicious patterns and tune detection rules.
Anti-Fraud Analyst
Department: Information Security Department
Employment Type: Full Time
Location: Tbilisi, Tbilisi Capital District, Georgia, Hybrid
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.
Key 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
Skills, Knowledge and Expertise
- 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
Why join us
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs