Payments & Fraud Data Analyst

The role

You will turn transactional and player-behaviour data into insight to improve payment performance and prevent fraud. You will work with Payments, Fraud, Compliance and Operations teams.

What you will do

• Own payment performance analytics end to end.
• Uncover fraud and abuse patterns across transactional and behavioural data.
• Design, back-test and monitor automated risk decisions.
• Build the reporting layer using dashboards in Looker or Tableau.
• Partner with Compliance on AML work through investigation queries and reporting.
• Accelerate Operations and Customer Service with analytics.
• Document data sources, metric definitions and automation logic.

Required qualifications

• Hands-on data analyst background in payments, fraud, risk or AML.
• Strong SQL skills on a cloud data warehouse.
• Practical experience in Looker, Tableau or Power BI.
• Experience analysing fraud and abuse patterns in transactional and behavioural data.
• Ability to run analytical projects from ambiguity to delivery.
• Confident, clear communication across Operations, Compliance and senior leadership.
• Investigative instinct and sharp attention to detail.

Nice to have

• BigQuery preferred
• Python for deeper analysis, anomaly detection or modelling
• Familiarity with fraud-scoring tools
• Familiarity with device or behavioural signals
• Familiarity with social casino mechanics
• Familiarity with ML approaches to fraud detection

About the company

B2Spin delivers Free-to-Play Social Casino and gaming experiences. They have a team of professionals from all over the globe working to improve player experiences.