How You'll Shape Eneba:
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By taking full ownership of fraud detection and prevention for one of Eneba’s products.
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By analyzing large datasets using SQL to identify fraud patterns, anomalies, and emerging attack vectors.
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By designing, writing, and optimizing dynamic fraud risk rules that scale with the business.
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By owning and continuously improving False Positive Rates, balancing fraud prevention with conversion and customer experience.
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By owning 3DS decisioning and optimization across multiple countries, deciding when and how additional authentication should be triggered.
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By analyzing conversion, rejection, and verification drop-off rates, and proposing data-driven improvements.
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By designing and maintaining fraud detection logic, alerts, and workflows used by Fraud Specialists.
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By collaborating closely with Product, Payments, Data, and Engineering teams to improve fraud and verification systems.
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By tracking and reporting fraud trends, clearly communicating insights and recommendations.
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By taking responsibility for decisions made, learning from outcomes, and iterating quickly.
What makes you a great fit:
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Proven experience in fraud analysis, payments risk, or risk management, with clear ownership over outcomes.
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Strong SQL skills and hands-on experience working with large datasets (SQL is mandatory).
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Experience writing and maintaining dynamic fraud risk rules.
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Effective communication skills, able to explain complex topics in simple words adjusted for different stakeholder groups.
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Deep, practical knowledge of 3DS and how authentication strategies differ across countries and regions.
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Solid understanding of fraud patterns, user behavior, and payment-related risks and KRIs.
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Confidence in making data-backed decisions and owning the impact of those decisions.
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Strong problem-solving and critical thinking skills.
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Full professional proficiency in English.