You’ll join a high-performing tech team focused on empowering quantitative trading through scalable platforms and robust research infrastructure. Your work will multiply the impact of top researchers and fuel creative trading strategies.
Your responsibilities will include:
- Building and enhancing distributed systems for quantitative research
- Creating infrastructure to process and analyze massive data sets
- Partnering with researchers to turn models into production tools
- Improving system scalability, speed, and reliability
- Taking ownership of code, architecture, and long-term technical vision
Our environment is built for elite engineers and researchers who value autonomy, collaboration, and real impact. You'll solve complex problems, influence global systems, and work at the frontier of finance and technology.
About You:
You're a Python engineer who thrives in data-rich environments.
You have strong experience with distributed systems, Linux, and analytical problem-solving. You’re driven by curiosity and enjoy seeing your code create real-world value.
You bring:
- 5+ years building large-scale systems in Python
- Strong Linux expertise
- Proven ability working with large, complex data sets
- A proactive mindset and intellectual rigor
- A degree in Computer Science or related field
Join a team where your engineering talent will directly drive the next generation of market discovery and financial innovation.