Senior Quality Analyst

Liquid Group; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Liquid Group in Singapore is seeking a hands-on Technical Business Analyst / Product QA to own the product acceptance layer of our AI-first SDLC. Translate business requirements into crisp acceptance criteria, design tests, and automate high-value scenarios with company-approved AI tools.

Balance BA rigor with QA depth to ensure releases are secure, compliant, and auditable. You will define test strategies, ensure traceability, run end-to-end across environments, produce Acceptance Test Reports,

Qualifications

• 4+ years experience in Technical BA or Product QA / Testing.
• Deep understanding of product workflows and user journeys.
• Hands-on in functional and UAT testing.
• Experience with automation or AI-assisted testing tools.

Responsibilities

• Define acceptance criteria and non-functional requirements.
• Maintain end-to-end traceability from requirement to approval.
• Create a product acceptance test strategy covering various scenarios.
• Define test plans and data needs; ensure no production data is used.
• Execute acceptance suites and produce evidence-backed reports.
• Present go/no-go recommendations to the Product Committee.

Skills

Technical BA

Product QA

Test planning

UAT testing

API testing

Automation tools

Security & compliance

Cross-functional comms

Tools

ChatGPT Business

Cursor

Lovable

Job description

Liquid Group is a FinTech payments services group based in Singapore. Liquid empowers and connects businesses and individuals to make transactions in a smart, secure and cost-effective way, anywhere in the world.

We operate a regional payment network to enable cross-border QR payment services for e-wallet operators, banks, and merchants. We also provide white-label solutions to accelerate the development and adoption of mobile payments for our business partners.

We work in a collaborative and adaptive way, exploring innovative ideas and solving challenging problems to develop our products. Together, we ensure efficiency, security, and convenience for our partners and customers.

Own the product acceptance layer of our AI-first SDLC: translate business requirements into crisp acceptance criteria, design the acceptance test strategy, automate high-value scenarios (using company-approved AI tools), and present objective release-readiness recommendations to the Product Committee (acting as CAB). The role balances technical BA rigor with QA depth, ensuring each release is secure, compliant, auditable, and aligned to business value.

Key responsibilities

Requirements & acceptance criteria

• Analyze business requirements and PRDs to create unambiguous acceptance criteria (e.g., BDD-style Given/When/Then) and clear non-functional requirements (security, performance, compliance).
• Maintain end-to-end traceability from requirement → test → evidence → approval in ticketing/VCS systems.
• Create a product acceptance test strategy covering integration, UAT, happy paths, edge cases, and negative/fraud scenarios; align with security/testing outputs (SAST/DAST/vulnerability scans).
• Define test plans and test data needs; ensure no production/cardholder data is used in AI tools.

Automation with approved AI tools

• Use company-approved AI tools (e.g., ChatGPT Business, Cursor, Lovable) to generate automated acceptance test suites and scaffolds from defined criteria & business scenarios—always with human review/peer review and proper evidence capture.

Execution & reporting

• Execute acceptance suites across environments; triage defects with Dev, Sec, and DevOps; confirm fixes meet criteria.
• Produce Acceptance Test Reports (metrics, pass/fail per criterion, known issues, residual risks, security findings, evidence links) and present to the Product Committee with a clear go/no-go recommendation for production readiness.

Compliance, security & auditability

• Ensure artifacts and approvals (business, technical, security, compliance) are recorded; support audits with explainable evidence. Retain evidence per policy.
• Proactively identify/flag AI-related risks (fairness/bias, explainability), data protection issues, and separation-of-duties breaches.

Key Requirements

• 4+ years experience in Technical Business Analysis or Product QA / Testing
• Deep understanding of product workflows, system requirements, and user journeys
• Hands-on experience in:
• Functional and UAT testing
• Test planning & execution
• Writing test cases and acceptance criteria
• Regression & API testing
• Comfort working with automation or AI-assisted testing tools (experience piloting or adopting AI tools a strong plus)
• Experience with FinTech, payments, banking, or transactional systems preferred
• Strong analytical skills with ability to break down complex workflows
• Effective communicator with cross-functional teams