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Payments & Fraud Data Analyst

Georgia · Romania · Poland · Bulgaria · Georgia

Actively hiring, first seen by us 4 days ago
Pay
Pay not listedSimilar roles state $95K–$144K
Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
BI — team source

What you’ll work on

Full posting
  • Analyse payment success rates, declines and provider performance to cut friction and cost

  • Find fraud and abuse patterns and turn them into rules, thresholds and segments

  • Design, back-test and monitor automated risk decisions after they go live

  • Build dashboards and anomaly alerts in Looker or Tableau

  • Deliver investigation queries and audit-ready reporting for Compliance on AML work

From the employer’s posting
diving into success rates, declines, payment methods and provider performance
translate findings into actionable rules, thresholds and segments
Design, back-test and monitor automated risk decisions
dashboards in Looker or Tableau, plus alerts for business-critical anomalies
delivering investigation queries, data analysis and audit-ready reporting

What you’ll bring

All qualifications

Core experience

  • Hands-on data analyst experience in payments, fraud, risk or AML
  • Strong SQL on a cloud data warehouse, BigQuery preferred
  • Practical experience with Looker, Tableau or Power BI
  • Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data
  • Ability to take analytical projects from unclear question to delivery and monitoring
Qualification wording
Hands-on data analyst background in payments, fraud, risk or AML
Strong SQL skills on a cloud data warehouse (BigQuery preferred)
practical experience in Looker, Tableau or Power BI
Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data
The ability to run analytical projects from ambiguity to delivery

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.

In the employer’s words · Read in context · Company website ↗

Apply at B2spin

Posting record

Report an error

Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 5 and day 41.

From 10,535 similar postings that came down. Coming down is not always a hire.

B2spin is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • Looker
  • Power BI
  • Tableau
Where the posting names them
- 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
- 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.
- 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.

Your next step

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Has B2spin posted this job before?

Yes. We’ve followed one other Payments & Fraud Data Analyst job there since October 2026. It is still up.

  1. Place not statedStill up after 5 days, first seen Oct 30
  2. This jobUp 5 days so far, first seen Oct 30

Job description

View original posting ↗

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

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.

Source details

View original posting ↗

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Pay

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Location & working pattern

Georgia

- 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.
Work authorization

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