QA Engineer – Financial Services

• Work as part of an agile development team within the Financial Crime Prevention Professional Services team.
• Deliver quality-assured automation scripts using web & API (REST/SOAP) based automation tools (e.g., Selenium, RestAssured).
• Coordinate with developers to build and execute test cases/test scripts for new or updated product features.
• Participate in daily scrum calls, explain progress, and propose solutions for blockers.
• Integrate tests into client CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps), configure quality gates, and set up reporting/dashboards.
• Help collate quality metrics, and contribute to measures to increase automated test effectiveness and efficiency.
• Leverage artificial intelligence (AI) tools—including Generative AI and AI-powered code assistants—to accelerate code development, improve test script generation, and enhance automation workflows.
• Evaluate, adopt, and provide feedback on emerging AI tools for code development, test automation, and defect analysis.
• Collaborate with team members to identify opportunities for AI solutions that improve software quality and productivity.

Required Skills & Qualifications:

• Design and develop automation scripts using tools such as Selenium/Playwright, RestAssured.
• Familiarity with automated test frameworks (preferably Cucumber, BDD, etc.) and contribution to development/implementation of automation test tools.
• Scripting and executing functional and non-functional tests.
• Experience using defect and test management tools (e.g., JIRA).
• Practical experience using AI-enhanced developer tools (e.g., GitHub Copilot, Tabnine, Amazon CodeWhisperer) for code development and optimization.
• Ability to apply AI-powered solutions in the automation and testing lifecycle, including autonomous test case generation, defect prediction, and smart documentation.
  • Adaptable to enterprise constraints (SSO, proxies, VPNs) and able to quickly learn new domains and tech stacks.