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Quantitative Developer

Stanford Black Ltd — United Kingdom · Posted ~3 hours ago

Mid Full-time

Skills

Python algorithms data structures systems programming high-performance computing distributed computing high-performance systems

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Summary ✨ AI‑Generated

A highly technical organization is looking for a quantitative software engineer to develop fast and scalable systems for complex computational workloads. The role focuses on Python engineering, optimization, distributed computing, and collaboration with research-focused teams.

Highlights

Work on high-performance engineering challenges, large-scale computing systems, and advanced software solutions in a technically demanding environment.

Description

My client is one of the world’s leading proprietary quantitative investment firms, combining elite engineering talent with enormous compute power to solve some of the hardest problems in systematic trading. Why This Team? Work directly alongside world-class quantitative researchers and traders.Access massive proprietary compute clusters with 1000s of cores.Build trading systems running globally, 24/6, with proprietary capital.Exceptional compensation and elite engineering calibre. What You’ll Tackle: Optimise simulation engines running millions of strategy experiments.Scale distributed research workloads across thousands of compute nodes.Build high-performance Python systems used in live trading. We Should Speak If You Have: Exceptional Python engineering skill.Strong algorithms, data structures and systems fundamentals.A top-tier technical and/or academic background. If your profile is a good fit, I will reach out within 12 hours of application.