Senior Fraud Data Analyst
inDrive Open Hybrid Limassol Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at inDrive. Limassol · full-time.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SenioritySenior
LocationLimassol
WorkplaceHybrid
EmploymentFull-time
PostedJan 9, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Use SQL and Python to spot suspicious activity and new fraud patterns across the listed products
- Build and refine detection rules and dashboards, then measure how well the rules identify fraud
- Take suspected cases from initial review through investigation, records, and escalation when incidents are confirmed
- Assess product changes for fraud risks and work with product teams on safeguards
- Track fraud losses, find their main sources, and develop ways to reduce them
What you bring
- At least four years in anti-fraud, risk analytics, or a related analytical role
- Strong SQL and Python skills for examining large datasets
- A sound grasp of statistics, including applying methods to behavioral patterns and anomaly detection
- English at B2 level or above
Who this fits
This suits a senior analyst who can independently investigate uncertain cases, identify patterns, and turn findings into recommendations. The role is hybrid in Limassol, Cyprus.
From the employer
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
- 4+ 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
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