Anti-Fraud Analyst

inDrive; Pakistan; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

inDrive is seeking an Anti-Fraud Analyst to own detection and investigation of fraud across our ride-hailing, delivery and city-to-city products. You will analyze transactional data using SQL and Python to identify suspicious patterns and develop fraud detection rules and dashboards.

The role requires 2+ years in anti-fraud or risk analytics, strong SQL/Python skills, and a solid understanding of statistics to inform investigations and mitigation efforts.

Qualifications

• 2+ years of experience in anti-fraud or risk analytics
• Strong proficiency in SQL and Python for analyzing large datasets
• Solid understanding of statistics and application to anomaly detection

Responsibilities

• Analyze transactional and behavioral data to identify suspicious patterns
• Develop, tune, and improve fraud detection rules and dashboards
• Evaluate detection rule effectiveness using precision and KPIs
• Manage fraud cases end-to-end from detection to escalation
• Conduct risk assessments of new and existing product features with Product teams
• Analyze fraud losses and develop plans to reduce them
• Propose and implement fraud risk mitigation measures with cross-functional teams

Skills

SQL

Python

Data analysis

Statistics

English (B2+)

Job description

Anti-Fraud Analyst

Department: Information Security Department

Employment Type: Full Time

Location: Pakistan

Description

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 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