ABOUT THE JOB

We’re looking for a Fraud Analyst who’s ready to own the entire fraud prevention process – from discovery to resolution. You’ll be on the frontline of one of our products, spotting suspicious patterns, digging deep into data, designing countermeasures, and implementing solutions yourself.

If you’re a self-starter with a passion for finding anomalies and closing loopholes before they become threats – this is your team.

• By taking full ownership of fraud detection and prevention for one of Eneba’s products.

• By analyzing large datasets using SQL to identify fraud patterns, anomalies, and emerging attack vectors.

• By designing, writing, and optimizing dynamic fraud risk rules that scale with the business.

• By owning and continuously improving False Positive Rates, balancing fraud prevention with conversion and customer experience.

• By owning 3DS decisioning and optimization across multiple countries, deciding when and how additional authentication should be triggered.

• By analyzing conversion, rejection, and verification drop-off rates, and proposing data-driven improvements.

• By designing and maintaining fraud detection logic, alerts, and workflows used by Fraud Specialists.

• By collaborating closely with Product, Payments, Data, and Engineering teams to improve fraud and verification systems.

• By tracking and reporting fraud trends, clearly communicating insights and recommendations.

• By taking responsibility for decisions made, learning from outcomes, and iterating quickly.

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• Proven experience in fraud analysis, payments risk, or risk management, with clear ownership over outcomes.

• Strong SQL skills and hands-on experience working with large datasets (SQL is mandatory).

• Experience writing and maintaining dynamic fraud risk rules.

• Effective communication skills, able to explain complex topics in simple words adjusted for different stakeholder groups.

• Deep, practical knowledge of 3DS and how authentication strategies differ across countries and regions.

• Solid understanding of fraud patterns, user behavior, and payment-related risks 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.

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• Python experience

• Experience working with fintechs, payment processors, or high-growth product companies.

• Familiarity with fraud and payments tools such as Forter, nSure, justt.Ai

• Exposure to PSD2, SCA, TRA, and liability shift concepts.

• Experience working in international, multi-market environments.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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