You will work directly with our technologists, traders, and quantitative research analysts to build, monitor, and support the production environment on a highly automated trading desk. This role is heavily hands-on with Linux/Unix systems, where you will develop tooling to ensure stability, performance, and reliability across a complex, distributed environment.

You will also contribute to the development and maintenance of software build and deployment tools on Linux, while gaining exposure to market microstructure and understanding how system architecture and operational risk directly impact trading.

This role is supporting a global team and will require you to work one day on a weekend.

In this role, you will:

• Design and develop Python and Bash scripts to monitor the health, performance, and dependencies of a mission-critical production environment
• Monitor and support a highly distributed Linux-based trading system
• Partner with the Platform Engineering team on server imaging, testing, deployment, and system configuration
• Act as a key liaison between the trading desk and network, security, market data, and platform teams on production issues and new system setups
• Provide multi-level production support for traders, strategists, and quantitative researchers
• Help improve system reliability, automation, and operational efficiency across the trading stack

• Strong, hands-on experience with Linux/Unix systems (essential) — this role is deeply OS-focused
• Proficiency in scripting languages, particularly Python and Bash, required
• Experience supporting production or mission-critical systems in a fast-paced environment
• Strong communication and interpersonal skills, with the ability to work closely with traders, quants, and engineers
• Ability to troubleshoot complex system-level issues under pressure
• Financial services or trading environment experience preferred, but not required
• Good understanding of financial instruments and markets is a plus
• Excellent quantitative and problem-solving skills strongly preferred
• Bachelor’s degree in Computer Science or a related technical discipline

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

Equal Opportunity Statement 

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.