Payments & Fraud Data Analyst

📋 Description

• Own payment performance analytics end to end — diving into success rates, declines, payment methods
• Uncover fraud and abuse patterns across transactional and behavioural data — from promo abuse and
• Design, back-test and monitor automated risk decisions, balancing fraud capture against player
• Build the reporting layer that keeps the business informed — dashboards in Looker or Tableau, plus
• Partner with Compliance on AML work, delivering investigation queries, data analysis and
• Accelerate Operations and Customer Service with analytics that quantify review workloads, case

🎯 Requirements

• Hands-on data analyst background in payments, fraud, risk or AML — ideally within gaming, iGaming
• Strong SQL skills on a cloud data warehouse (BigQuery preferred) paired with practical experience
• Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data
• The ability to run analytical projects from ambiguity to delivery — scoping unclear questions
• Confident, clear communication across Operations, Compliance and senior leadership, including the
• An investigative instinct and sharp attention to detail — you notice when something looks off and