
TENB Fintech
2 days ago
Description :
You will work across both manual and automated testing, ensuring that every release meets the highest standards - especially in the areas of data accuracy, transactional integrity, and system stability. You'll also explore AI-powered testing tools to drive faster and smarter quality assurance.
If you're passionate about quality in high-stakes environments like payments, lending, KYC, or financial reporting, this is the role for you.
Key Responsibilities :
- Ensure data security and compliance : Test for data leaks, verify encryption/PII handling, and monitor logs for sensitive information exposure.
- Own test strategy : Design, automate, and maintain functional, regression, smoke, and integration tests
using tools like Playwright, Selenium, or Cypress.
- AI-powered QA : Use tools like Testim, Applitools, or Mabl to enhance coverage, reduce flaky tests, and enable intelligent test maintenance.
- API & Backend Testing : Use Postman, REST-assured, and SQL queries to validate financial logic, settlements, KYC data, and lead assignments.
- Defect lifecycle management : File and track bugs in Jira, ensuring high-impact issues are prioritized and reproducible.
- CI/CD quality gates : Integrate automated tests into pipelines (GitHub Actions, Jenkins, or GitLab CI) for smooth, stable releases.
- Collaborate closely : Work alongside developers, PMs, and data teams to improve quality early in the SDLC, from product design through release.
What We're Looking For :
- Bachelor's degree in Computer Science, Engineering, or equivalent.- 2-5 years of experience in QA across Fintech, banking, or high-availability transactional platforms.
- Hands-on experience with modern automation frameworks (Playwright preferred).
- Exposure to AI/ML-driven QA tools like Testim, Applitools, Functionize, or Mabl.
- Experience testing RESTful APIs, SQL databases, and multi-service architectures.
- Solid understanding of Agile/Scrum, SDLC/STLC, and testing best practices.
- Awareness of security and compliance requirements (e.g., PCI-DSS, CIBIL/credit data protection, GDPR).
- Analytical mindset with attention to financial accuracy, edge cases, and performance limits.
- Strong communicator with ability to articulate quality concerns to devs, product, and business teams.