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The Intermediate UAT Test Engineer will lead and support User Acceptance Testing (UAT) activities for Fraud Detection systems within BFSI applications. This role involves validating fraud rules, transaction monitoring systems, and case management workflows, while collaborating closely with business stakeholders. The candidate is expected to have hands-on experience in Fraud, AML, or Risk domains and contribute to improving UAT processes.
Job Responsibility
Design, review, and execute UAT test scenarios for Fraud Detection systems
Validate fraud rules, alerts, scoring models, and case management workflows
Perform end-to-end testing of transaction monitoring, alert generation, and investigation processes
Analyze suspicious transactions and ensure accurate fraud detection and classification
Coordinate with business users to understand requirements and ensure UAT coverage
Identify gaps in requirements and recommend improvements based on domain knowledge
Log, track, prioritize, and retest defects using tools like JIRA
Prepare and manage UAT test data, including complex fraud scenarios and edge cases
Support UAT planning, execution, and reporting (status updates, defect summaries, sign-offs)
Ensure compliance with regulatory requirements (e.g., AML, KYC, PCI-DSS where applicable)
Mentor junior testers and support them during test cycles
Collaborate with QA, development, and business teams to resolve issues efficiently
Requirements
4–6 years of experience in BFSI testing with strong exposure to UAT
Solid understanding of Fraud Detection, AML, or transaction monitoring systems
Hands-on experience in validating fraud rules, alerts, and case workflows
Experience working with defect management tools (e.g., JIRA, ALM)
Strong analytical skills for identifying fraud patterns and validating outcomes
Ability to interact confidently with business stakeholders and SMEs
Good understanding of UAT lifecycle, test planning, and execution
Strong communication, coordination, and documentation skills
Nice to have
ISTQB Certification (Foundation/Advanced)
Experience with fraud rules engines (e.g., Actimize, FICO, SAS Fraud Management, etc.)
Basic to intermediate SQL skills for data validation and analysis