Why this role stands out
This hybrid role in Chicago offers a fantastic opportunity to contribute to cutting-edge financial technology platforms, leveraging your Python and automation skills while gaining exposure to AI/ML and real-time trading systems. You'll thrive here if you enjoy tackling complex technical challenges within a collaborative environment and are eager to expand your expertise in the dynamic capital markets industry.
Quick overview
Job description
This opportunity is ideal for someone who enjoys solving complex technical challenges while working at the intersection of software engineering, quality assurance, trading technology, and machine learning. The organization operates with a highly collaborative culture where testers work closely with developers, quantitative teams, and business stakeholders. Candidates looking to expand their expertise in automated testing, derivatives markets, and AI-driven applications will find substantial growth potential. Required Skills & Experience
- 3+ years of QA Engineering, SDET, or Automation Engineering experience
- Python automation experience
- Experience with Playwright, Selenium, or comparable automation frameworks
- Strong SQL scripting and database validation skills
- Knowledge of FIX Protocol messaging
- Experience within trading, financial services, capital markets, exchanges, or fintech
- Understanding of options, derivatives, futures, or trading workflows
- Experience performing both manual and automated testing
- Machine Learning or AI testing exposure
- Experience with LLMs, Claude, Copilot, or agentic coding tools
- Knowledge of REST API testing and Rest Assured
- C# development experience
- Experience supporting OMS, EMS, market data, or execution platforms
- Prop trading or exchange technology background
- Performance and load testing experience
- CI/CD pipeline testing exposure
- Design and maintain automated test frameworks
- Execute manual and exploratory testing activities
- Validate trading workflows, market data integrations, and platform functionality
- Test APIs, databases, and distributed applications
- Support AI/ML testing initiatives and model validation efforts
- Investigate production issues and create regression coverage
- Collaborate with software engineers, traders, and quantitative teams
- 40% Test Automation Development
- 25% Trading Platform Validation
- 20% API and Database Testing
- 15% AI/ML Testing Initiatives
- 70% Hands On
- 30% Team Collaboration
- Bonus eligible
- Medical, Dental, and Vision Insurance
- 401(k) with company contribution
- Paid Time Off
- Employee wellness programs
- Flexible work environment
- Stock Options
- Professional development opportunities
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