Transaction Antifraud Engineer
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
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