Role Overview
An experienced Automation tester is required to support a Trade Surveillance Modernization Program within Banking and Capital Markets experience. The role will focus on validating surveillance rules, trade and order data, alert generation, case workflows, regulatory evidence, and end-to-end testing across SIT, UAT, regression, and production validation phases.
Qualifications & Skills:
Bachelors degree in computer science, Information Technology, Engineering, or related fields.
Solid proficiency in Pyspark, SQL & Python and hands-on experience with automated testing tools.
Prior experience on validating data migration project.
Candidate should be well versed with Trade data understanding, surveillance alert validation, data reconciliation, ETL.
Solid Automation Testing development experience using Java, Cucumber and API automation frameworks
Testing methodology and QA principles - Agile process
Hands-on automation experience using tools
Should be able to do validation, regression testing, and business sign-off activities throughout the migration lifecycle.
Technical skills in data profiling, gap analysis, source-to-target mappings, and data issue resolution.
Proficient in scripting complex SQLs and developing testing scripts.
Banking domain knowledge is must.