Software Fraud Engineer

This is a fully remote position, open to applicants in Cyprus, +4 more states.

📋 Description

• Create and implement fraud detection systems for payments, wallets, authentication, and user activities.

• Identify account takeovers, payment fraud, bonus misuse, multi-accounting, and various other abuse scenarios.

• Develop real-time fraud pipelines and event processing systems.

• Establish automated mechanisms for fraud prevention.

• Enhance and refine fraud rules, velocity controls, and dynamic risk scoring.

• Design decision engines for transaction approval, review, or denial.

• Improve the accuracy of fraud detection while reducing false positives.

• Advance fraud models utilizing behavioral and transactional data.

• Analyze transaction patterns, user behavior, device intelligence, and risk indicators.

• Manage large-scale event streams and transactional datasets.

• Create tools for internal investigations and monitoring for Fraud, Support, and Compliance teams.

• Explore emerging fraud patterns and swiftly implement countermeasures.

• Develop scalable backend services that support fraud prevention.

• Create APIs and internal tools for risk assessment.

• Enhance latency for real-time fraud decision-making.

• Collaborate effectively with Product, Payments, Data, and Platform teams.

⛳️ Requirements

• A minimum of 4 years of experience in software engineering.

• Proven experience in developing fraud prevention, risk, payment, banking, fintech, or security systems.

• Strong backend development skills in Go, Java, Kotlin, Python, or similar languages.

• Experience with distributed systems and event-driven architectures.

• Proficient SQL skills with experience in handling large datasets.

• Familiarity with payment flows, authentication processes, and transactional systems.

• Experience designing real-time decision engines.

• Excellent analytical and problem-solving abilities.

• Proficiency in English.

• Nice to have: Experience in crypto, Web3, or blockchain technologies.

• Nice to have: Familiarity with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies.

• Nice to have: Experience utilizing machine learning models for fraud detection.

• Nice to have: Knowledge of AML, KYC, or payment risk systems.

• Nice to have: Background in device fingerprinting, behavioral analytics, or identity verification.

🏝️ Benefits

• Professional development support: funding for courses, conferences, and English language learning (up to 100% coverage).

• Work-life balance: options for remote or hybrid work with flexible hours across international teams.

• Paid time off: up to 20 vacation days + 8 company holidays + 5 personal days annually.

• Recognition initiatives: structured performance reviews and team awards.

• Team culture: retreats in international destinations (such as company accommodations in Cyprus).