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 activityDetect account takeover, payment fraud, bonus abuse, multi-accounting, and other abuse scenariosBuild real-time fraud pipelines and event processing systemsDevelop automated fraud prevention mechanisms Risk Engine Build and improve fraud rules, velocity controls, and dynamic risk scoringDesign decision engines for transaction approval, review, or rejectionContinuously optimize fraud detection accuracy while minimizing false positivesImprove fraud models using behavioral and transactional data Data & Analytics Analyze transaction patterns, user behavior, device intelligence, and risk signalsWork with large-scale event streams and transactional datasetsCreate internal investigation and monitoring tools for Fraud, Support, and Compliance teamsInvestigate emerging fraud patterns and rapidly deploy countermeasures Engineering Develop scalable backend services supporting fraud preventionBuild APIs and internal tooling for risk evaluationOptimize latency for real-time fraud decisionsCollaborate closely with Product, Payments, Data, and Platform teams Requirements 4+ years of software engineering experienceExperience building fraud prevention, risk, payment, banking, fintech, or security systemsStrong backend development experience (Go, Java, Kotlin, Python, or similar)Experience working with distributed systems and event-driven architecturesStrong SQL skills and experience with large datasetsUnderstanding of payment flows, authentication, and transactional systemsExperience designing real-time decision enginesStrong analytical and problem-solving skillsFluent English Nice to have Experience in crypto, Web3, or blockchainExperience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologiesExperience with machine learning models for fraud detectionKnowledge of AML, KYC, or payment risk systemsExperience 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 teamsPaid leave: up to 20 vacation days + 8 company holidays + 5 personal days per yearRecognition programs: structured performance reviews and team awardsTeam culture: retreats in international locations (for example, company apartments in Cyprus)