A leading global trading firm is seeking a highly skilled Quant Developer with strong Equities experience to join their London team. This is a unique opportunity to work in a highly collaborative, research-driven environment where cutting-edge technology and quantitative strategies power market-leading performance.

Responsibilities:

• Design, build, and optimize high-performance trading systems and quantitative models focused on global equities.
• Partner directly with researchers and traders to translate ideas into robust, production-ready code.
• Develop infrastructure for systematic trading strategies, real-time data analysis, and backtesting.
• Contribute to the continuous improvement of execution algorithms and performance tuning.
• Engage in a fast-paced environment focused on innovation, experimentation, and rapid iteration.

Key Requirements:

• Strong programming skills in Python and C++ (or other low-latency languages).
• Solid experience (2+ years) working with equities trading, including understanding of market microstructure.
• Deep knowledge of algorithms, data structures, and optimization techniques.
• Hands-on experience with real-time trading systems, backtesting frameworks, and performance profiling.
• Strong academic background with a degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
• Passion for solving complex problems, eagerness to learn, and the ability to thrive in a highly collaborative setting.

What’s on Offer:

• Industry-leading compensation package with exceptional performance bonuses.
• Access to cutting-edge technology and infrastructure.
• Flat, non-hierarchical culture that rewards innovation and merit.
• Collaborative environment with world-class engineers, researchers, and traders.
• Opportunities for ownership and real impact on trading outcomes.

If you are a passionate Quant Developer with a drive for innovation and excellence in equities trading, we’d love to hear from you. Apply today to be part of one of the most exciting and dynamic trading environments in the world.