Payments & Fraud Data Analyst

B2Spin Limited; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

B2Spin is seeking a Payments & Fraud Data Analyst to join our Business Intelligence team in New York. You’ll turn transaction and player-behaviour data into insights that improve payment performance, deter fraud, and protect genuine players.

You’ll work with Payments, Fraud, Compliance and Operations to surface actionable rules, dashboards, and KPI measures, helping teams move faster and make data-driven decisions in a remote-friendly, fast-paced gaming environment.

Qualifications

• Hands-on data analyst background in payments, fraud, risk or AML.
• Strong SQL skills on a cloud data warehouse (BigQuery preferred).
• Experience analysing fraud and abuse patterns in transactional and behavioural data.
• Python for deeper analysis, anomaly detection or modelling is a strong plus.

Responsibilities

• 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 with dashboards in Looker or Tableau, plus alerts.
• Partner with Compliance on AML work and data reporting.
• Accelerate Operations and Customer Service with analytics.
• Raise the analytical bar across the business by documenting data sources and logic.

Skills

Payments analytics

Fraud analytics

SQL

BI tools (Looker/Tableau/Power BI)

Python

AML

Communication

Tools

BigQuery

Looker

Tableau

Power BI

Job description

About B2Spin

We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it.

The role

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.

What you'll do

• 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.

What we're looking for

• 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.

Our values

• 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.