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. • 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. • 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).