Responsibilities We're looking for a Software Fraud Engineer to design and build our next-generation fraud prevention platform. You'll develop real-time fraud detection systems, risk engines, and automated decision-making services that protect both our users and business. This is an engineering role focused on building fraud prevention systems — not a manual fraud operations position. Fraud Detection Design and develop fraud detection systems for payments, wallets, authentication, and user activity Detect account takeover, payment fraud, bonus abuse, multi-accounting, and other abuse scenarios Build real-time fraud pipelines and event processing systems Develop automated fraud prevention mechanisms Risk Engine Build and improve fraud rules, velocity controls, and dynamic risk scoring Design decision engines for transaction approval, review, or rejection Continuously optimize fraud detection accuracy while minimizing false positives Improve fraud models using behavioral and transactional data Data & Analytics Analyze transaction patterns, user behavior, device intelligence,



and risk signals Work with large-scale event streams and transactional datasets Create internal investigation and monitoring tools for Fraud, Support, and Compliance teams Investigate emerging fraud patterns and rapidly deploy countermeasures Engineering Develop scalable backend services supporting fraud prevention Build APIs and internal tooling for risk evaluation Optimize latency for real-time fraud decisions Collaborate closely with Product, Payments, Data, and Platform teams Requirements 4+ years of software engineering experience Experience building fraud prevention, risk, payment, banking, fintech, or security systems Strong backend development experience (Go, Java, Kotlin, Python, or similar) Experience working with distributed systems and event-driven architectures Strong SQL skills and experience with large datasets Understanding of payment flows, authentication, and transactional system

📌 Software Fraud Engineer (Madrid)
🏢 Gomining
📍 Madrid