Responsibilities
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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

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- 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

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- 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

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- 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

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- 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

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- 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

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- Experience in crypto, Web3, or blockchain xqbhyrx

- 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

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- Professional growth: support for courses, conferences, and English learning (up to 100% coverage)

- Work-life fit: remote or hybrid format with adaptable 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)

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📌 Software Fraud Engineer (España)
🏢 Gomining
📍 España