We are seeking a highly experienced Technical Test Analyst to ensure the end-to-end quality of all Online Tools, including web platforms, quote
engines, and financial calculators. This role is critical for delivering reliable, scalable, and high-performing digital adviser and client experiences through
comprehensive functional and non-functional testing. The ideal candidate will drive AI-enabled quality engineering practices to improve defect prevention,
accelerate delivery, and enhance test coverage across digital ecosystems, with a specific focus on financial tools and platforms.
Responsibilities:
- Perform end-to-end manual and automated testing across Online Tools, covering functionality, performance, reliability, stability, compatibility, and integrations.
- Conduct gap analysis between requirements and existing solutions, ensuring user stories are testable with clear acceptance criteria.
- Define and enforce quality standards during PI planning and sprint cycles.
- Develop and maintain comprehensive test plans, scenarios, test cases, execution results, and traceability.
- Build and maintain automation frameworks and reusable test assets, including executing and maintaining automated regression suites.
- Implement API and UI automation testing aligned with engineering standards, validating integration points across legacy and external systems.
- Validate financial calculations in quote tools and calculators, performing data integrity and reconciliation testing (including big data outputs) using SQL and database tools.
- Actively participate in backlog refinement, sprint planning, and PI planning, contributing to team predictability through test coverage insights and driving early defect detection and prevention.
- Collaborate effectively with Developers, Product Owners, and Business Analysts, demonstrating test outcomes and solution quality to stakeholders and promoting collective ownership of quality.
- Report on QA trends, continuously improve testing practices, mentor junior testers, and support automation strategy and QA Community of Practice initiatives.
- Apply AI tools for test case generation, test data creation, defect prediction, and risk-based testing to improve test coverage, speed, and accuracy.
- Leverage AI-assisted automation for self-healing test scripts, smart element identification, and maintenance reduction.
- Utilize AI and analytics to identify defect patterns, predict high-risk areas, and improve release confidence.
- Ensure AI outputs are validated, explainable, and that bias and incorrect predictions are mitigated, meeting quality standards.
- Use AI-assisted development and testing tools to reduce cycle time and improve efficiency.
Required Skills and Qualifications:
- 8-10+ years of testing experience with a strong automation focus.
- Proficiency in automation frameworks for API (e.g., Karate, Postman) and UI (e.g., Cypress, TestCafe, CodeceptJS).
- Extensive experience with databases such as SQL, MongoDB, and PostgreSQL.
- Advanced integration testing experience.
- Familiarity with Agile delivery models.
- Proven experience testing online financial tools (quotes, calculators), digital platforms, and web applications.
- Experience with performance testing tools, CI/CD pipelines, and cloud-native testing.
- Strong analytical thinking and problem-solving abilities.
- Excellent planning and prioritization skills.
- Effective communication and stakeholder engagement.
- Ability to work under pressure and meet deadlines.
- Innovative and "out-of-the-box" testing mindset.
- Strong collaboration and teamwork skills.
- Commitment to continuous learning and knowledge sharing.
Preferred Qualifications:
- Degree in IT / Computer Science.
- Strong financial services / investments industry experience.