eneba - Fraud analyst - Snakzy
Requirements
• Proven experience in fraud analysis, payments risk, or risk management, with clear ownership over outcomes. • Experience writing and monitoring dynamic fraud risk rules. • Effective communication skills, able to explain complex topics in simple words adjusted for different stakeholder groups. • Solid understanding of fraud patterns, user behavior, and KRIs. • Confidence in making data-backed decisions and owning the impact of those decisions. • Strong problem-solving and critical thinking skills. • Full professional proficiency in English. • Experience working with SQL to analyze datasets and investigate fraud patterns. • Previous experience in fintech, payment processing, marketplaces, or high-growth product companies. • Familiarity with analytics platforms such as Databricks and Mixpanel. • Experience with Know Your Customer (KYC) verification processes. • Experience working in international, multi-market environments. • WHAT IT'S LIKE TO WORK AT ENEBA • Make an impact by helping scale a unique product and contribute to a growing global gaming marketplace. • Opportunity to participate in Eneba's Stock Options program, subject to eligibility. • Access to applicable performance-based bonuses and referral programs. • Benefit from a personal learning budget, regular feedback, and clearly defined development and progression opportunities. • Take advantage of paid volunteering opportunities, where eligible. • Enjoy additional paid time off, where included in your engagement terms. • READY TO JOIN US? • We'd love to learn more about you! Please submit your CV in English. • To learn how we handle your personal data during recruitment, please review our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice.
Responsibilities
• Take full ownership of fraud detection and prevention for one of Eneba's products, from identifying risks to implementing solutions. • Analyze large datasets to identify fraud patterns, anomalies, and emerging attack vectors. • Design, implement, and continuously optimize dynamic fraud detection rules that scale with the business. • Monitor and improve false positive rates, balancing effective fraud prevention with conversion and customer experience. • Analyze conversion, rejection, and verification drop-off rates to identify opportunities for improvement. • Develop and maintain fraud detection logic, alerts, and workflows that support Fraud Specialists in their daily operations. • Collaborate with Product, Commercial, Data, and Engineering teams to strengthen fraud prevention and verification processes. • Track fraud trends and key risk indicators, translating findings into clear, actionable recommendations. • Take accountability for decisions and outcomes, continuously refining fraud prevention strategies based on results.
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