01Requirements
Minimum 5 years of experience in testing or quality assurance roles for IT platforms.Experience executing test cases across functional, regression, and integration test phases.Experience in data-heavy, financial, or enterprise IT environments is preferred.Demonstrated attention to detail and structured approach to test documentation.
Technical Skills:
Ability to read and understand SQL queries for data validation purposes.Experience with at least one test management tool (e. g., Azure DevOps Test Plans, Jira, ALM).Basic scripting or data manipulation (e. g., Excel, SQL, or Python) for test data preparation is an advantage.Familiarity with modern data or cloud platforms is a plus.
AI and Mindset:
Practical exposure to AI-assisted tools (e. g., copilots, test accelerators) is an advantage.Demonstrates curiosity, a learning mindset, and openness to adopting new ways of working.Willing to upskill in AI-assisted testing practices as part of the team's evolution.
Professional Skills:
Strong attention to detail and structured approach to test execution and documentation.Clear written communication, able to document defects and test results precisely.Collaborative team player who communicates blockers and progress clearly and promptly.Accountable, reliable, and self-organised in managing assigned test tasks.Bachelor's degree in Information Technology, Engineering, Mathematics, Finance, or a related field (or equivalent practical experience).
Good to Have:
Strong test execution discipline.Clear and precise defect documentation.Data validation experience (SQL, file comparison).Collaborative team contributor.Willingness to adopt AI-assisted testing tools.
Nice to Have:
Test automation experience.Experience in actuarial or risk platforms.Python scripting for data analysis.Cloud or Databricks platform exposure.CI/CD or DevOps testing experience. .
