Fraud Data Analyst

TL;DR

Fraud Data Analyst (Payments): Analyze high-scale payment transactions to identify fraud patterns, anomalies, and risks in gaming infrastructure with an accent on monitoring metrics and investigating incidents. Focus on building dashboards, refining detection rules, and collaborating with engineering teams to mitigate threats and optimize controls.

Location: On-site in Belgrade

Company

hirify.global builds payment infrastructure for gaming companies, handling millions of transactions per month at global scale.

What you will do

• Analyze transactions to detect fraud patterns, anomalies, and suspicious behavior; monitor key metrics like fraud and chargeback rates.
• Investigate individual and coordinated fraud incidents, identify emerging trends, and surface risks proactively.
• Build and maintain real-time monitoring dashboards and reports for fraud metrics and performance tracking.
• Support development of fraud detection rules, evaluate controls, and contribute to automation workflows.
• Collaborate with engineering and payments teams on investigations, incident response, and risk management improvements.

Requirements

• 2+ years in fraud, risk, or payments analytics
• Strong SQL skills for analyzing large transactional datasets
• Experience with payment data, flows, chargebacks, and fraud vectors
• Python for automation and data analysis
• Structured, detail-oriented approach with ability to extract actionable insights
• Analytical mindset to detect patterns and respond quickly to anomalies

Nice to have

• Experience in fintech, gaming, payments, or e-commerce

Culture & Benefits

• Focus on ownership, clear communication, and timely fraud response
• Collaboration across engineering, payments, and risk teams
• Impact on revenue protection and processor relationships