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9 часов назад

Payments & Fraud Data Analyst (iGaming)

Формат работы
remote (только Europe)
Тип работы
fulltime
Английский
b2
Страна
Poland/Romania/Georgia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Payments & Fraud Data Analyst (iGaming): Turning transactional and player-behaviour data into payment performance insights, fraud controls, AML analysis, and operational reporting with an accent on SQL, cloud data warehouses, dashboards, and automated risk decisions. Focus on detecting fraud and abuse patterns, back-testing risk rules, balancing fraud capture with genuine-player friction, and monitoring the impact of changes.

Location: Remote from Georgia, Bulgaria, Poland, or Romania

Company

hirify.global creates Free-to-Play Social Casino and gaming products focused on engaging and accessible player experiences.

What you will do

  • Analyse payment success rates, declines, payment methods, and provider performance to reduce friction and cost.
  • Investigate fraud and abuse patterns, including promo abuse, multi-accounting, chargebacks, and money cycling, and translate findings into rules, thresholds, and segments.
  • Design, back-test, and monitor automated risk decisions while balancing fraud capture against friction for genuine players.
  • Build Looker or Tableau dashboards and alerts for payment, provider, and risk anomalies.
  • Partner with Compliance on AML investigations, data analysis, and audit-ready reporting.
  • Support Operations and Customer Service with analytics on review workloads, case outcomes, and player-facing friction; document data sources, metrics, and automation logic.

Requirements

  • Hands-on data analyst experience in payments, fraud, risk, or AML, ideally in gaming, iGaming, fintech, or another high-volume digital environment.
  • Strong SQL skills with a cloud data warehouse; BigQuery is preferred.
  • Practical experience with Looker, Tableau, or Power BI.
  • Experience analysing fraud and abuse patterns in transactional and behavioural data, including the trade-off between fraud capture and friction for genuine players.
  • Ability to take analytical projects from ambiguous questions through solution design, documentation, delivery, and impact monitoring.
  • Clear communication with Operations, Compliance, and senior leadership, including challenging assumptions with data in a remote-team setting.
  • Investigative mindset and strong attention to detail.

Nice to have

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

Culture & Benefits

  • Remote work from Georgia, Bulgaria, Poland, or Romania.
  • Values include passion for the products, accountability, fast execution, ownership, and progress over perfection.
  • Equal-opportunity environment that welcomes diverse backgrounds, non-traditional career paths, and perspectives.

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