Fraud Detection Analyst — SQL & Python Risk Analytics

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

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.