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Senior UAT Tester for Anti-Money Laundering (AML) Transaction Monitoring team responsible for ensuring quality and reliability of financial institution's transaction monitoring systems. Role involves designing, executing, leading and documenting test cases to validate system meets specified requirements in user acceptance testing environment.
Job Responsibility:
Develop and execute UAT test plans and test cases based on business requirements for AML transaction monitoring systems
Perform hands-on testing of backend systems including Oracle and Big Data databases to validate data accuracy, integrity, and system performance
Leverage skills in Python, SQL, and Generative AI tools to automate testing and generate documentation
Identify, document, and track software defects using testing tools ensuring timely resolution and retesting
Collaborate with business stakeholders, business analysts, and developers to understand system requirements
Lead a team of testers in critical assignments to ensure test execution is as per plan
Participate in Agile Scrum ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives
Requirements:
Bachelor's degree in computer science, Information Technology, or a related field
05-08 years of experience in software testing with focus on user acceptance testing (UAT) within the financial industry
Strong understanding of testing principles, methodologies, and software Test life cycle (STLC)
Proven experience in testing backend systems including Oracle and Big Data databases using SQL and other data query languages
Experience with testing tools such as QC/ALM, Jira, or similar test management and defect tracking systems
Minimum English language proficiency equivalent to B2 level (CEFR)
Familiarity with Anti-Money Laundering regulations, transaction monitoring processes, and AML systems like Mantas, Actimize, or similar detection tools
Hands-on experience working in an Agile Scrum framework
Solid technical skills including experience with SQL, data analysis, and basic understanding of automation frameworks
Excellent analytical and problem-solving skills
Strong written and verbal communication skills
Nice to have:
Exposure to Automation using Python, Selenium
Experience of leading a group of testers
Experience with AML systems like Mantas, Actimize, or similar detection tools
Basic understanding of automation frameworks like Python and Selenium
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