b2spin Payments & Fraud Data Analyst at B2Spin responsible for analyzing payment performance and fraud patterns to improve platform safety. Collaborates with multiple teams to enhance decision-making and reduce friction for genuine players.
Responsibilities
B2Spin is looking for a Payments & Fraud Data Analyst to join our Business Intelligence team and help keep money moving safely through our platform. You'll turn transactional and player-behaviour data into clear insight that improves payment performance, prevents fraud and abuse, and protects the experience for genuine players — working closely with Payments, Fraud, Compliance and Operations to make their decisions sharper and faster.
Own payment performance analytics end to end — diving into success rates, declines, payment methods and provider performance to surface improvements that reduce friction and cost.
Uncover fraud and abuse patterns across transactional and behavioural data — from promo abuse and multi-accounting to chargebacks and money cycling — and translate findings into actionable rules, thresholds and segments.
Design, back-test and monitor automated risk decisions, balancing fraud capture against player friction and tracking real-world impact after every change goes live.
Build the reporting layer that keeps the business informed — dashboards in Looker or Tableau, plus alerts for business-critical anomalies like provider volume drops or risk spikes.
Partner with Compliance on AML work, delivering investigation queries, data analysis and audit-ready reporting that hold up to scrutiny.
Accelerate Operations and Customer Service with analytics that quantify review workloads, case outcomes and player-facing friction so teams move faster and more consistently.
Raise the analytical bar across the business — documenting data sources, metric definitions and automation logic so insight is trusted, reusable and easy to build on.
Qualification
ConfidentPython for deeper analysisAt B2SpinEqual opportunitiesWe hire based on skills
Required
Hands-on data analyst background in payments, fraud, risk or AML — ideally within gaming, iGaming, fintech or another high-volume digital environment.
Strong SQL skills on a cloud data warehouse (BigQuery preferred) paired with practical experience in Looker, Tableau or Power BI.
Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data, with a clear understanding of the trade-off between fraud capture and friction for genuine players.
The ability to run analytical projects from ambiguity to delivery — scoping unclear questions, building solutions, documenting them and monitoring their impact over time.
Confident, clear communication across Operations, Compliance and senior leadership, including the ability to challenge assumptions with data in a remote-team setting.
An investigative instinct and sharp attention to detail — you notice when something looks off and you follow it until you understand why.
Python for deeper analysis, anomaly detection or modelling is a strong plus, as is familiarity with fraud-scoring tools, device or behavioural signals, social casino mechanics, or ML approaches to fraud detection.
At B2Spin, passion means we genuinely love what we build — and we surround ourselves with people who feel the same way. Performance means we back that passion with accountability: we move fast, own our results, and choose progress over perfection every time.
Equal opportunities
We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.
