QA Automation Engineer

Please no 3rd party subcontractor inquiries. Title: QA Engineer (Front Office – Fixed Income / Python). Location: Charlotte, NC (Hybrid). Duration: 12-18-month contract. Pay Rate: $65–68/hour (W2). (Due to client rules we are unable to work with 3rd party subcontractors; all candidates must be able to work on Experis' W2). Openings: 2. Must-Have Experience (Please Read Before Applying) Front Office technology experience is required (trading-facing systems) Strong knowledge of Fixed Income products (Swaps / Derivatives) Hands-on Python coding experience (will be tested live) Overview Our banking client is hiring two QA Analysts to support front office trading applications within a financial services environment. This role is highly technical and requires a strong blend of test automation, Python development, and deep domain knowledge in fixed income trading workflows. You will be working directly with front office users, developers, and QA teams to ensure the stability and accuracy of critical trading systems. Key Responsibilities Design, develop, and execute automated test scripts for front office trading platforms Validate functionality across systems such as: Trading platforms Order management systems (OMS) Market data feeds Perform: Functional testing Regression testing Integration testing Analyze test results, identify defects, and partner with development teams to resolve issues Ensure testing aligns with business workflows and regulatory/compliance requirements Document test plans, test data, and results for audit and reporting purposes Collaborate closely with front office stakeholders to prioritize testing needs Required Skills & Experience 5+ years of experience with test automation frameworks (Selenium, TestNG, or similar) Strong programming/scripting skills in: Python (required) Java or JavaScript (nice to have) Solid understanding of: Trading workflows Fixed income instruments (swaps, derivatives) Market data systems Experience working in front office environments (trading-facing technology) Familiarity with: Agile development methodologies CI/CD tools and pipelines Strong analytical, problem-solving, and communication skills Interview Process will include a 1-hour live coding/technical assessment Ideal Candidate Has worked directly with front office trading systems Understands fixed income products deeply (not surface-level) Is comfortable coding in Python in a live setting Can bridge the gap between business users and technical teams #J-18808-Ljbffr