Be Part Of A High-Performing Team:

Join a technology team supporting a sophisticated capital markets environment where quality engineering, automation, and data validation play a critical role in trade lifecycle accuracy. This team works closely with development, business, and operations stakeholders to support post-trade systems, back-office workflows, and complex data movement across internal and external platforms. The environment is collaborative, fast-paced, and highly focused on risk awareness, delivery quality, and continuous improvement across financial technology platforms.

What’s In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, North Carolina, supporting a high-impact capital markets technology group. The role offers exposure to fixed income, derivatives, post-trade processing, data lineage, test automation, and future CI/CD testing practices within an enterprise financial services environment.

How You Will Make An Impact:

• Build, expand, and maintain automated test scenarios using Python or Java for post-trade, back-office, and trade flow applications.
• Develop test automation scripts that validate complex fixed income capital markets data lineage across multiple systems.
• Write and execute complex SQL queries to validate data movement, transformations, and downstream system behavior.
• Partner with development teams to review stories, clarify requirements, assess automation effort, and support sprint-based testing.
• Convert test scenarios into automation while maintaining test plans, test cases, test data, and automation scripts.
• Support impact assessments for business requirements, change requests, and new functionality.
• Participate in code pull, review, execution, reporting, and future CI/CD implementation activities.
• Identify, document, and escalate risks, defects, issues, and testing gaps that may affect production quality.

Are you an experienced QA automation professional ready to make an impact in capital markets technology?

• 5–7+ years of experience in application development, QA automation, SDET, or automation framework development using Python or Java.
• Strong coding experience in Python, Java, or equivalent programming languages for automated test case development.
• Strong hands-on experience expanding test automation frameworks and creating automation scenarios programmatically.
• 5+ years of professional experience working with data sets, advanced scripting, and SQL.
• Strong SQL skills, including the ability to write complex queries for backend validation and data testing.
• 2+ years of experience developing test automation scripts for post-trade fixed income, capital markets, or financial data lineage workflows.
• Experience with backend testing, front-end testing, and web service/API testing.
• Prior QE/SDET experience in Agile/Scrum teams with frequent feature delivery.
• Ability to understand complex data flows across internal and external applications.
• Strong working knowledge of fixed income, derivatives, back-office testing, or capital markets workflows.
• Strong communication, analytical thinking, issue identification, and risk-reporting skills.