Software Fraud Engineer

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. Responsibilities 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 systems. - Experience designing real-time decision engines. - Strong analytical and problem-solving skills. - Fluent English. Nice to have - Experience in crypto, Web3, or blockchain. - Experience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies. - Experience with machine learning models for fraud detection. - Knowledge of AML, KYC, or payment risk systems. - Experience with device fingerprinting, behavioral analytics, or identity verification. Benefits - Professional growth: support for courses, conferences, and English learning (up to 100% coverage). - Work-life fit: remote or hybrid format with flexible hours across international teams. - Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year - Recognition programs: structured performance reviews and team awards. - Team culture: retreats in international locations (for example, company apartments in Cyprus).