[Hiring] Fraud Analyst @Eneba

Role Description

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.

Qualifications

• 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.

Requirements

• Preferred, but not required: 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.

Benefits

• Opportunity to join our Employee Stock Options program.
• Opportunity to help scale a unique product.
• Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
• Paid volunteering opportunities.
• Work location of your choice: office, remote, opportunity to work and travel.
• Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.