Patrianna
social gaming
FraudDataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Fraud Data Analyst at Patrianna. Skills: Analyze fraud and risk data, identify suspicious patterns, optimize risk engines, SQL. Analyze fraud and risk data to identify suspicious patterns and high-risk player behavior across multiple brands. Monitor and investigate member account activities including registrations, purchases, and redemptions using fraud prevention tools”
What You'll Achieve.
uncovering fraud patterns; optimizing risk engines; turning data into bulletproof defenses; safeguards revenue and player trust
Industry & Context.
analytical and problem-solving skills; data-driven approach to decision making
What They're Looking For.
Must Have
Proficiency in SQL for data analysis and investigation, Experience working effectively across multiple projects simultaneously in fast-paced environments
Nice to Have
Hands-on experience with SEON or similar fraud prevention rule engines, Direct experience in the gaming or casino industry with understanding of player behaviors and fraud risks
What You'll Do.
Analyze fraud and risk data to identify suspicious patterns and high-risk player behavior across multiple brands
Monitor and investigate member account activities including registrations
and redemptions using fraud prevention tools
Review and optimize existing fraud rulesets
analyzing performance and proposing improvements to strengthen defenses
Generate detailed suspicious activity and risk management reports for leadership teams
Support newly onboarded clients in setting up their fraud rule engines and scoring systems
Stay current with fraud prevention trends and implement innovative testing approaches to stay ahead of threats
How You'll Work.
Team & Collaboration
collaborate with international teams
Communication Scope
Excellent communication skills; ability to present complex technical findings clearly to diverse stakeholders
Process & Methodology
working effectively across multiple projects simultaneously
Full Job Description
FRAUD DATA ANALYST Patrianna is a fast-scaling product and service provider based in Gibraltar, supporting some of the most exciting and dynamic brands in the global social gaming space. We partner with clients to deliver high-impact operational services that fuel user acquisition, retention, compliance, payments, and customer engagement at scale. With deep industry expertise across CRM, marketing, player support, risk and fraud, and data-driven performance optimization, our teams are trusted to handle critical functions for high-growth gaming businesses. Our service model combines agility, best-in-class tools, and a hands-on approach, allowing our partners to focus on product innovation while we deliver the operational backbone. At Patrianna, we don't just support growth—we accelerate it. Whether it's launching a new brand, expanding into new markets, or driving performance improvements, we deliver real results with speed, precision, and accountability. THE ROLE Protect our partners and their players by uncovering fraud patterns, optimizing risk engines, and turning data into bulletproof defenses. WHAT YOU WILL BE DOING • Analyze fraud and risk data to identify suspicious patterns and high-risk player behavior across multiple brands • Monitor and investigate member account activities including registrations, purchases, and redemptions using fraud prevention tools • Review and optimize existing fraud rulesets, analyzing performance and proposing improvements to strengthen defenses • Generate detailed suspicious activity and risk management reports for leadership teams • Support newly onboarded clients in setting up their fraud rule engines and scoring systems • Stay current with fraud prevention trends and implement innovative testing approaches to stay ahead of threats WHAT WE ARE LOOKING FOR • Hands-on experience with SEON or similar fraud prevention rule engines • Direct experience in the gaming or casino industry with understanding of player behaviors and fraud
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