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The Laboratory for AI-Powered Financial Technologies

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QA ENGINEER / ASST QA ENGINEER

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Summary

QA Engineer (or Assistant QA Engineer for less-experienced candidates) owning end-to-end quality for data- and AI-driven analytics platforms at a Hong Kong fintech research lab: test planning, automated API/database/UI tests running in CI, and verification of AI outputs and data pipelines. Core stack: Python, SQL, REST APIs, pytest/Playwright.

THE ROLE

The Laboratory for AI-Powered Financial Technologies Limited (AIFT) aims to be a leading research center on the financial technologies and services. We are seeking for passionate and talented QA Engineer / Asst QA Engineer to join our growing team.

RESPONSIBILITIES
  • Own end-to-end quality assurance for data- and AI-driven analytics platforms: test planning, case design, execution, regression and release sign-off.
  • Build and maintain automated API, database, UI and browser-extension tests, and keep them running in CI so regressions surface before release.
  • Design verification for AI-generated outputs such as drafted content, diagnostic conclusions and recommendations: define correctness criteria and run prompt and model-version regression.
  • Validate data pipelines, metric calculations and access boundaries against source systems, confirming that figures reconcile and tenant data isolation holds.
  • Log, reproduce and track defects to closure with clear evidence, and maintain test documentation and release records with product and development teams.
  • Fulfill ad-hoc testing assignments in line with evolving business requirements.
QUALIFICATION & REQUIREMENTS
  • Bachelor’s degree or above in Computer Science, Information Technology or relevant majors.
  • Minimum 2 years of full-time QA experience for web platforms or data products.
  • Hands-on Python scripting for automated API testing; able to read code and logs to find root causes.
  • Proficient in SQL for data verification, with basic exposure to NoSQL such as MongoDB.
  • Solid understanding of REST APIs, authentication and permission models, and multi-tenant data isolation.
  • Experience testing AI or LLM-powered features, such as generated-content quality and prompt regression, is preferred.
  • Familiarity with CI/CD pipelines and test tooling such as pytest or Playwright is a strong plus.
  • Detail-oriented; able to judge whether results are correct, not merely whether they run.
  • Candidates with insufficient experience may be recruited as Assistant QA Engineer.
  • Degree or above in Computer Science / Information Technology or related discipline.
  • Good verbal and written communication skills in both Chinese and English

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