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QA Engineer

Stellent IT LLCNew York, NY🇺🇸United StatesPosted 9 Sept 2026

Why This Role Stands Out

This role offers significant growth potential within the dynamic financial services sector, allowing you to deepen your expertise in cloud testing and data reconciliation. You'll thrive here if you possess strong manual testing skills, SQL proficiency, and a background in investment banking or financial services. Seize this opportunity to contribute to a reputable company and advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
22 hours ago
SQLJira

Job Description

Hello

Job Description

QA Engineer

New York, NY (3 days a week onsite work)

Long Term Contract

Financial service domain

Local Only

Video and in person

****Must have a one degree from US - Bachelors or Masters from an accredited college in the US

****Investment Banking OR Financial Service experience required

looking for a Traditional QA Engineer.

***Need a strong QA person with a focus on cloud testing / data. stressing Data Recon and increasing the Recon features for the testing. ***

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.
  • 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



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