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GoMining

Software Fraud Engineer

LocationSpain
Work modehybrid
Typefull-time
Company size11+ people
First seen1w ago
Last seen1d ago
About the role
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
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Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
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Detect account takeover, payment fraud, bonus abuse, multi-accounting, and other abuse scenarios.
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Build real-time fraud pipelines and event processing systems.
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Develop automated fraud prevention mechanisms.
Risk Engine
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Build and improve fraud rules, velocity controls, and dynamic risk scoring.
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Design decision engines for transaction approval, review, or rejection.
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Continuously optimize fraud detection accuracy while minimizing false positives.
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Improve fraud models using behavioral and transactional data.
Data & Analytics
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Analyze transaction patterns, user behavior, device intelligence, and risk signals.
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Work with large-scale event streams and transactional datasets.
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Create internal investigation and monitoring tools for Fraud, Support, and Compliance teams.
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Investigate emerging fraud patterns and rapidly deploy countermeasures.
Engineering
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Develop scalable backend services supporting fraud prevention.
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Build APIs and internal tooling for risk evaluation.
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Optimize latency for real-time fraud decisions.
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Collaborate closely with Product, Payments, Data, and Platform teams.
Requirements
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4+ years of software engineering experience.
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Experience building fraud prevention, risk, payment, banking, fintech, or security systems.
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Strong backend development experience (Go, Java, Kotlin, Python, or similar).
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Experience working with distributed systems and event-driven architectures.
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Strong SQL skills and experience with large datasets.
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Understanding of payment flows, authentication, and transactional systems.
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Experience designing real-time decision engines.
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Strong analytical and problem-solving skills.
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Fluent English.
Nice to have
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Experience in crypto, Web3, or blockchain.
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Experience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies.
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Experience with machine learning models for fraud detection.
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Knowledge of AML, KYC, or payment risk systems.
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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).
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Work-life fit: remote or hybrid format with flexible hours across international teams.
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Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
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Recognition programs: structured performance reviews and team awards.
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Team culture: retreats in international locations (for example, company apartments in Cyprus).
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