Python Software Engineer : Elite Quant Fund : London : £150-200k + top bonus

Overview

Our client builds the technology and systems that redefine markets. They’re a research-driven quantitative trading firm where software is central to every decision, and Python is the backbone of our strategy development and execution stack.

We’re looking for a world-class Python Software Engineer who writes clean, fast, production-grade code—and knows how to work where performance meets precision.

What You\’ll Work On

• Architect tools and infrastructure for quantitative research and trading strategy development.
• Build robust data pipelines ingesting terabytes of market and alt data with sub-second latency
• Design elegant APIs to connect researchers, trading systems, and execution engines
• Automate everything: backtesting, model deployment, risk analytics, and real-time reporting

What Sets You Apart

• Deep experience with Python in a high-performance, production-grade setting.
• Strong fundamentals in software engineering: testing, version control, CI/CD, clean architecture
• Passion for building internal tools, research frameworks, or working on data-heavy systems
• Bonus: Exposure to pandas, NumPy, asyncio, Cython, or PyArrow. Familiarity with C++ is a plus
• Bonus++: Experience working with quants, data scientists, or in trading environments
• Computer Science or technical degree from a reputable university
• Python 3.11+ (fast, modern, typed)
• Internal frameworks built for scale and speed

Why Join

• Engineers own projects end-to-end—from design to deployment to impact
• Work side-by-side with quants, traders, and researchers in a flat, fast-moving team
• Competitive compensation at the top of the market, with research-aligned bonuses
• No bureaucracy. No legacy. Just smart people solving hard problems, fast

Role Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology, Engineering, and Production
• Industries: Financial Services, Technology, Information and Media, and Banking

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