Senior QA Automation Engineer: Python in Finance (SDET)

Recurring Decimal; Charlotte (NC); On-site; USD 110,000 - 145,000; Full time

Job summary

Recurring Decimal is seeking a QA Automation Engineer / SDET with deep financial domain expertise to support an enterprise Capital Markets technology team.

In this role you will bridge software development and quality engineering for post-trade back office and trade flow applications. The ideal candidate possesses strong Python coding skills to automate back-office and trade flow environments and has direct experience with Fixed Income, Derivatives, and Swaps trading.

Qualifications

• 5–7 years of experience in app development or test automation with Python.
• Hands-on Python coding to automate post-trade back-office and trade flows.
• Strong Fixed Income and Derivatives domain knowledge; swaps experience.
• Experience with Tradeweb and Bloomberg trade systems.
• 2+ years developing test automation scripts for Fixed Income data lineage.
• Ability to analyze complex data flows across multiple apps.

Responsibilities

• Expand existing test automation frameworks and build new automation scenarios for backend systems, frontends, and web service APIs.
• Input trade deals, validate deal tickets, and ensure seamless execution across front-to-back office systems.
• Analyze complex business requirements to plan tests and map scenarios within Xray; convert manual scripts to automated ones.
• Write complex SQL queries to validate data flows and data lineage across apps.
• Manage code pulls, peer reviews, and drive CI/CD pipeline implementations for automated testing and reporting.

Skills

Python

Data lineage

Analytical mindset

CI/CD

Automation testing

Fixed Income

Derivatives

Tools

Xray

SQL

Job description

Recurring Decimal is seeking a QA Automation Engineer / SDET with deep financial domain expertise to support an enterprise Capital Markets technology team.

In this role you will bridge software development and quality engineering for post-trade back office and trade flow applications. The ideal candidate possesses strong Python coding skills to automate back-office and trade flow environments and has direct experience with Fixed Income, Derivatives, and Swaps trading.