Quantitative Developer - HFT (C++)

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About this role

Quantitative Developer - HFT (C++) London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT's High-Frequency Trading team designs and operates ultra-low-latency systems at global scale. We're hiring experienced C++ engineers who are passionate about performance, efficiency, and building highly optimized systems. You'll work on performance-critical systems with direct impact on live trading outcomes. Your future role at QRT: You'll work across our latency-critical stack - from kernel-level tuning and network optimization to highly efficient C++ components. This role involves close collaboration with our FPGA engineering team as well as our hardware and infrastructure engineers to design end-to-end architectures where every single nanosecond counts. - Design and optimize C++ systems for trading, market data, and infrastructure - Profile and fine-tune performance across CPU, cache, and memory layers - Collaborate with FPGA engineers to integrate hardware and software pathways Your present skillset: - 5+ years of experience in performance-critical C++ (C++17 or newer) - Strong grasp of systems programming, low-level understanding including memory management and CPU's architectures - Deep familiarity with Linux internals, kernel parameters, and low-level profiling - Curiosity about hardware, networking, and how systems

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