This team sits at the intersection of data, infrastructure, and quant research—building the core platform powering investment strategies across the firm. You’ll work directly with Portfolio Managers, Quant Researchers, and Engineers to deliver scalable tools, APIs, and data services that underpin real-time research, implementation, and monitoring.
Why apply?
- Impact at scale: You’ll be writing production-grade Python code used globally across trading desks.
- Cutting-edge tech: Think AWS, Docker, Kubernetes, Kafka, Pandas, GitHub Actions—designed for performance at scale.
- Collaborative, technical culture: This is an engineering-driven environment where quality, documentation, and observability matter.
- Direct exposure: You’ll collaborate daily with front office quants, PMs, and research teams on critical trading systems.
You’ll need at least 3+ years of professional Python experience, CI/CD familiarity, and a strong academic background (Computer Science, Maths, Physics). If you’re passionate about clean code, scalable systems, and want to work in a mission-critical engineering team driving quantitative alpha—this role offers it all.
To apply, either follow the instructions here or email me@mondrian-alpha.com directly, attaching your resume and an explanation of why you feel a suitable fit.