QA Engineer (Data Warehousing)

QA Engineer
New York, NY
3 days a week onsite work
Onsite Interview Required
***Must have recent and extensive Investment Banking industry experience

Client in NYC is looking for a Traditional QA Engineer.
Core Focus Areas:

• Manual Regression Testing: Verifying that new code deployments or updates do not break existing financial reporting, reconciliation tools, or trading logic.
• Functional & Integration Testing: Validating the end-to-end flow of transactions, trade lifecycles, and data processing between front, middle, and back-office systems.
• Negative & Ad-hoc Testing: Intentionally inputting invalid data or unexpected user actions to test application resilience and error-handling capabilities.
• User Acceptance Testing (UAT) Support: Serving as a "quality catalyst " by collaborating directly with developers, business analysts, and end-users to manage UAT guidelines and verify real-world operational

Technical and Domain Competencies
Traditional QA teams handle highly complex enterprise systems and generally require a specific mix of financial and technical skills:

• Database & Data Integrity: High proficiency in writing complex SQL queries to manage and validate financial data stores. Traditional and Cloud Databases.
• System Environments: Navigating backend servers using Unix/Linux commands and scripting.
• Technology Stack: AWS, Microservices, SpringBoot, Java, Streaming Architecture
• Domain Knowledge: Understanding specific financial structures such as Securities Lending, Equity Swaps, FIX protocols, and T+1 clearance mandates.
• Tool Tracking: Rigorous defect logging, sprint tracking, and requirement mapping utilizing platforms like Jira and Bitbucket