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Mid-level generalist QA role with common skills but finance liquidity domain specificity, moderate competition.
Strong banking liquidity reporting requirements increase domain specificity, reducing cross-industry transferability.
Advanced SQL, audit-ready UAT evidence, Jira migration and liquidity knowledge enforce medium strictness.
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Own and execute manual UAT focused on data integrity across UI, databases, interfaces, and downstream reports, using advanced SQL for reconciliation.
Lead transition from Excel-based UAT tracking to Jira for test case management, evidence capture, and defect workflow, producing audit-ready evidence and release readiness reports.
Manage defect triage, root cause analysis, and provide clear data-backed updates and recommendations to senior stakeholders.
Advanced SQL skills for data reconciliation and validation across multiple systems.
Experience in manual user acceptance testing (UAT) with focus on data accuracy, completeness, and consistency.
Experience transitioning UAT management from Excel to Jira (test planning, execution, defect management).
Work Experience Required: Not explicitly mentioned in the JD.
Experience or familiarity with financial services domain concepts, especially liquidity metrics like LCR and NSFR, collateral and loan management.
Operating style involves rigorous data-driven validation and defect triage within structured delivery workflows and governance frameworks.
Comfortable working with multiple reporting and BI tools (Qlik Sense, Tableau) and supporting technologies (Big Query, SharePoint).