Technical Test Analyst; Online Tools) MMH

Position: Technical Test Analyst (Online Tools) MMH260630-8

• Databases: SQL, MongoDB, PostgreSQL

Role Purpose

Ensure the end-to-end quality of all Online Tools (including Web platforms, Quote engines, and financial calculators) through comprehensive functional and non-functional testing, enabling reliable, scalable, and high-performing digital adviser and client experiences.

Drive AI-enabled quality engineering practices to improve defect prevention, accelerate delivery, and enhance test coverage across digital ecosystems.

Scope of Role (Online Tools Focus)

The Role Covers Testing Across

• Web-based adviser and client platforms
• Quote and pricing engines
• Financial and investment calculators
• Digital engagement tools and integrations
• APIs and backend services supporting Online Tools

Testing Includes

• Functional, regression, and integration testing
• Performance, scalability, and reliability
• Security and compatibility validations
• Data accuracy and calculation validation (critical for financial tools)

Requirements

• Degree in IT / Computer Science (preferred
• Testing certification (ISTQB / ISEB) preferred
• 8–10+ years testing experience, with strong automation focus
• Strong financial services / investments experience preferred

Required Technical Skills

• Automation Frameworks
• API:
  Karate, Postman
• UI:
  Cypress, Test Cafe, CodeceptJS
• Programming:
  Java, Java Script
• Databases: SQL, MongoDB, PostgreSQL
• Integration Testing (Advanced)
• Agile delivery models

• Experience testing:
• Online financial tools (quotes, calculators)
• Digital platforms and web applications
• Experience with:
• Performance testing tools
• CI/CD pipelines
• Cloud-native testing

Duties and Responsibilities Test Delivery & Quality Assurance

• Perform end-to-end manual and automated testing across Online Tools
• Execute testing across functionality, performance, reliability, stability, compatibility, and integrations.
• Conduct gap analysis between requirements and existing solutions.
• Ensure user stories are testable, with clear acceptance criteria
• Define and enforce quality standards in PI planning and sprint cycles.

Develop And Maintain

• Test plans
• Test scenarios
• Test cases
• Execution results and traceability

Automation & Engineering

• Build and maintain automation frameworks and reusable test assets.
• Execute and maintain automated regression suites
• Implement API and UI automation testing aligned to engineering standards.
• Validate integration points across legacy and external systems.

Data & Calculation Validation

• Validate financial calculations in quote tools and calculators
• Perform data integrity and reconciliation testing (incl. big data outputs)
• Use SQL and database tools to validate backend data accuracy

Agile & Delivery Contribution Actively Participate In

• Backlog refinement
• Sprint planning
• PI planning
• Contribute to team predictability through test coverage insights
• Drive early defect detection and prevention practices

Stakeholder & Team Collaboration Collaborate With

• Developers
• Product Owners
• Business Analysts
• Demonstrate test outcomes and solution quality to stakeholders
• Promote collective ownership of quality within the squad

Continuous Improvement & Leadership

• Report on QA trends and continuously improve testing practices
• Mentor junior testers and provide technical guidance
• Support automation strategy and QA CoP initiatives

AI-Enabled QA Responsibilities AI-Driven Testing

• Apply AI tools for:
• Test case generation
• Test data creation
• Defect prediction and risk-based testing
• Use AI to improve test coverage, speed, and accuracy

Intelligent Test Automation

• Leverage AI-assisted automation for:
• Self-healing test scripts
• Smart element identification
• Maintenance reduction

Quality Insights & Analytics

• Use AI and analytics to:
• Identify defect patterns
• Predict high-risk areas
• Improve release confidence

AI Governance & Responsible QA

• AI outputs are validated and explainable
• Bias and incorrect predictions are mitigated
• AI-generated tests meet quality standards

Productivity & Time-to-Value

• Use AI-assisted development and testing tools to reduce cycle time and improve efficiency

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