SDET (Python) – Front Office Trading Systems #3613435

Be Part Of A High-Performing Team:

Join a high-impact capital markets technology team supporting front-office trading applications used across fixed income and derivatives trading. This group partners closely with trading desks and technology stakeholders to strengthen automation coverage, improve regression reliability, and support business-critical trading workflows. The environment is fast-moving, highly technical, and centered on building scalable test automation for systems used in real-time trading and market execution.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a long-term contract opportunity with potential for conversion, supporting front-office trading technology in a hybrid Charlotte, NC environment. The role offers direct exposure to fixed income trading workflows, Python automation, trader-facing applications, and automation framework expansion across UI, API, and performance-focused testing needs.

How You Will Make An Impact

• Build, maintain, and expand Python-based automated test coverage for front-office trading applications.
• Convert manual trading workflow scenarios into scalable automated regression tests.
• Support testing across fixed income trading applications, swaps trading systems, credit default swaps, bonds, munis, corporates, treasuries, futures, and related trading workflows.
• Partner with technology teams and trading desk users to understand how applications are used in real trading scenarios.
• Validate workflows such as order creation, market making, trade execution, market data usage, and downstream handoffs.
• Contribute to API automation framework expansion and help close current automation coverage gaps.
• Perform functional, regression, integration, API, and performance-oriented testing aligned to trader-specific usage patterns.
• Analyze failures, troubleshoot defects, and collaborate with developers and business stakeholders through resolution.

Are you an experienced Python QA automation professional with front-office fixed income trading expertise?

• Strong Python programming/scripting ability with the ability to pass a live coding assessment.
• Proven QA automation or SDET experience supporting capital markets trading applications.
• Hands-on experience with Python-based automation frameworks, ideally using pytest, Selenium, Playwright, or similar tools.
• Strong understanding of front-office trading workflows, especially fixed income, swaps, credit default swaps, bonds, munis, corporates, treasuries, or futures.
• Experience with OMS, EMS, market data, trading platforms, or sales/trading systems.
• Exposure to platforms such as Triforce, DealerWeb, Sophis, Murex, Charles River, Calypso, Bloomberg, or comparable homegrown trading systems is a strong plus.
• Experience building or scaling API automation frameworks is highly preferred.
• Strong communication skills with the ability to work directly with developers, QA teams, business users, and trading desk stakeholders.
• Must be comfortable working hybrid in Charlotte, NC, with at least two onsite days per week.

To apply, please submit your resume and cover letter highlighting your relevant experience and qualifications.

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About us:

Axiom Path is a global solutions provider leveraging AI and pre-built analytics to deliver exceptional services across various domains. Our core values (Accountability, Excellence, Integrity, and Community) guide us in providing optimized results and unparalleled service. We are an equal opportunity employer, a SIA-recognized diversity-owned firm, committed to diversity and inclusion.