Anti-Fraud Analyst

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

Own fraud detection and investigation for inDrive’s ride-hailing, delivery, and city-to-city products. Analyze transactional and behavioral data with SQL and Python to uncover suspicious patterns, emerging fraud schemes, and fraud losses. Build and optimize fraud detection rules and dashboards, evaluate rule performance with key metrics, manage cases end-to-end, and conduct risk assessments with Product teams to reduce fraud through mitigation measures.

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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 for inDrive’s ride-hailing, delivery, and city-to-city products. Analyze transactional and behavioral data with SQL and Python to uncover suspicious patterns, emerging fraud schemes, and fraud losses. Build and optimize fraud detection rules and dashboards, evaluate rule performance with key metrics, manage cases end-to-end, and conduct risk assessments with Product teams to reduce fraud through mitigation measures.
Location: Almaty
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 rules by tracking precision and other key performance metrics.
  • •Manage fraud cases end-to-end from detection through investigation, documentation, and escalation.
  • •Conduct risk assessments of new and existing product features in collaboration with Product teams.

Pay and Benefits

Perks:Learning Budget

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 for behavioral analysis and anomaly detection.
  • •Experience working with data to identify suspicious patterns and formulate hypotheses.
  • •Fluent English at B2 or higher.
Experience:2+ yearsAnti-fraudRisk analytics
Skills:Analytical thinkingAttention to detailStructured approachIndependent investigations
Languages:English
Tech Stack:SQLPython

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