Anti-Fraud Analyst

inDrive
Tbilisi
Workplace: HybridFull timeFunction: CybersecurityExperience: 2+ yearsSkills: ["Analytical thinking","Attention to detail","Structured investigations","Independence"]

Own fraud detection and investigation across ride-hailing, delivery, and city-to-city products. Analyze transactional and behavioral data with SQL and Python to identify suspicious patterns and emerging schemes, build and improve fraud detection rules and dashboards, and measure effectiveness using precision and related metrics. Manage fraud cases end-to-end, perform risk assessments for product features, and reduce fraud losses through mitigation plans with Product and cross-functional teams.

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FursaFursa
inDrive
inDrive
1 week ago

Anti-Fraud Analyst

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own fraud detection and investigation across ride-hailing, delivery, and city-to-city products. Analyze transactional and behavioral data with SQL and Python to identify suspicious patterns and emerging schemes, build and improve fraud detection rules and dashboards, and measure effectiveness using precision and related metrics. Manage fraud cases end-to-end, perform risk assessments for product features, and reduce fraud losses through mitigation plans with Product and cross-functional teams.
Location: Tbilisi
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

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 detection quality and effectiveness 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 and propose and implement fraud risk mitigation measures.

Key Requirements

  • •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 to independently identify suspicious patterns and formulate hypotheses.
  • •English B2 or higher.
Experience:2+ years
Skills:Analytical thinkingAttention to detailStructured investigationsIndependence
Languages:English
Tech Stack:SQLPythonAnti-fraud dashboardsFraud detection rules

Company Brief

inDrive
A ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time. It also offers intercity travel, courier, and delivery services in multiple countries.
Industry: Mobility Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2013
WebsiteLinkedIn