Software Fraud Engineer

Hace 2 semanas

Huelva, Andalucía, España GoMining Jornada completa

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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 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) #J-18808-Ljbffr

Software Fraud Engineer

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