We are looking for an Antifraud Engineer to implement and continuously improve transactional fraud prevention rules in our automated platform. You will work with custom scripting, complex decision logic, and real-time transaction data to protect high-volume payment systems. The role requires strong technical skills and hands-on experience with rule engines or automation tools.

Responsibilities:

  • Implement antifraud rules in an automated platform - requires strong technical skills and the ability to work with custom scripting and complex logic

  • Participate in the planning and execution of automated testing

  • Design and improve APIs and system integrations, including those related to fraud and risk decisioning

  • Design new features and optimize operational processes

  • Build and manage integrations with internal teams (e.g. AML, Core Banking) and external service providers

  • Support clear and well-structured documentation

  • Design new microservices and improve existing service logic and architecture

  • Take full ownership of tasks - from gathering business requirements to production deployment:

    • Collaborate closely with fraud, operations and compliance teams

    • Define and manage tasks (Jira, Confluence)

    • Oversee the release lifecycle and ensure high-quality delivery

    • Monitor service performance after release and manage incidents in production

Requirements:

  • 3+ years of experience as a System Analyst, System Engineer or Software Developer in fintech or banking

  • Experience with code development or low-code platforms/automation tools

  • Good knowledge of microservice architecture and system integration patterns

  • Strong skills in API design and integration from scratch

  • Strong SQL skills for data analysis and validation

  • Experience with production support, incident investigation, and resolution

  • Familiarity with gitlab/gitops

  • English level B2 or higher — capable of effective written and verbal communication

Will be a plus:

  • Understanding of how acquirers, issuers and payment systems operate

  • Understanding of AML (Anti-Money Laundering) processes and regulations

  • Hands-on experience with antifraud systems (e.g. rule engines, scoring models)

  • Knowledge of core banking systems and principles

  • Experience with databases and automated testing frameworks

  • Familiarity with fraud risk signals and transaction scoring concepts