# Software Fraud Engineer

> GoMining · Cyprus (Remote) · — · Posted 2026-08-04

**Workplace:** remote

## Description

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 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).

## Apply

[Apply at GoMining](https://apply.workable.com/gomining/j/8233AFACC8/apply)

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