Fraud Data Analyst
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Job Description
Fraud Data Analyst protecting global social gaming brands through fraud detection and risk optimization. Analyzing player behavior, improving rulesets, and supporting client risk-engine deployments.
Responsibilities:
- 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
Requirements:
- 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
- Strong analytical and problem-solving skills with a data-driven approach to decision making
- Proficiency in SQL for data analysis and investigation
- Experience working effectively across multiple projects simultaneously in fast-paced environments
- Excellent communication skills with ability to present complex technical findings clearly to diverse stakeholders
Benefits:
- Remote work
- Opportunity to work with cutting-edge fraud prevention technology
- Collaboration with international teams
- Support for exciting client launches
- Continuous learning as fraud tactics evolve
- Autonomy to innovate solutions
- Equal opportunity employment regardless of background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path
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