Lead Payment And Fraud Analyst (Igaming)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Lead Payment and Fraud Analyst (Igaming): Leading the payment and fraud analytics strategy to optimize financial performance and protect the gaming ecosystem with an accent on predictive insights and risk-scoring models. Focus on reducing payment declines, mitigating chargebacks, and identifying complex fraud patterns like bonus abuse and multi-accounting.
Location: Remote (Must be based in Malta, Georgia, Poland, Portugal, or Serbia)
Company
is a developer of Free-to-Play Social Casino and gaming products dedicated to revolutionizing the industry through captivating and unique player experiences.
What you will do
- Define and execute the vision for payment analytics, moving beyond standard reporting to predictive insights.
- Analyze payment data using SQL and create compelling dashboards with Tableau, PowerBI, or Looker.
- Implement strategies to reduce payment declines, recover failed transactions, and identify conversion bottlenecks.
- Lead chargeback mitigation efforts by analyzing trends and implementing automated triggers.
- Develop detection logic to identify bonus abuse, multi-accounting patterns, and synthetic identities.
- Collaborate with cross-functional teams to build risk-scoring models that balance security with player experience.
Requirements
- Strong SQL skills with experience in data visualization tools like Tableau, PowerBI, or Looker.
- Proven experience in the gambling industry, particularly in payments and fraud analytics.
- Player-Coach mindset with demonstrated ability to manage teams while staying hands-on with data analysis.
- Strong analytical thinking with exceptional attention to detail.
- Excellent collaboration and communication skills for cross-functional partnership.
Nice to have
- Python skills for advanced analytics and modeling.
Culture & Benefits
- High-pace, high-growth environment where individual insights shape million-dollar decisions.
- Opportunity to work at the cutting edge of gaming analytics and machine learning.
- Freedom to innovate analytical approaches and lead strategic initiatives.
- Inclusive culture that values diverse perspectives and non-traditional career paths.
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