Software Fraud Engineer

Description

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).