Fraud Analyst

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. 

About the team 

Behind every groundbreaking product, there’s an awesome team - and Fraud & Risk Operations is one of the cornerstones of Eneba’s success. This team plays a critical role in safeguarding our platforms, protecting user trust, and ensuring that every transaction - whether on our core marketplace or in other products - is as secure and fair as possible.

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.

How You'll Shape Eneba:

• 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.

What makes you a great fit:

• 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.

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.

Salary ranges: 35000-45000eur gross annually

What it’s like to work at Eneba

*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.