inDrive

Global ride-hailing platform with fare negotiation

Senior Fraud Data Analyst

Financial Crime & AMLUpdated on Nov 13

Full-timeLimassol, CyprusNo salary listedHybrid

About the Job

Requirements

At least 4 years of experience in anti-fraud, risk analytics, or a related analytical field.
Strong proficiency in SQL and Python for analyzing large datasets.
A 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.
Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations.
English proficiency at B2 level or higher.

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.

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

About the Company

inDrive

Global ride-hailing platform with fare negotiation

inDrive operates a global mobility and urban services platform that connects passengers with independent drivers through a fare-negotiation system. Riders propose a trip price, and nearby drivers can accept, decline, or counteroffer, creating a peer-to-peer ride-hailing model. The service has expanded to intercity rides, delivery and cargo, groceries, advertising, and driver-focused fintech within its app. Unlike typical ride-hailing apps that use fixed fares, inDrive enables price negotiation and direct driver-rider interaction, and it pursues growth through a venture arm that funds ride-hailing-adjacent startups in emerging markets. This broader strategy aims to build a super-app for urban and gig-economy needs, with the goal of offering a wide range of mobility and urban services in 48 countries.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $532M
Headquarters: Mountain View, CA
Founded: 2012

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