
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.
Your present skillset:
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all asset classes across the world. Driven by a shared passion for data, research, technology and trading expertise, we strive to deliver high-quality returns for our investors.
Established in 2016, QRT can rely on its employees across 12 offices in Europe, Middle East and Asia Pacific.
We currently have multiple open positions on our website, please check and apply on line: https://www.qube-rt.com/careers/
QRT supports various coding initiatives as well as academic projects developing and promoting maths and science education.
More information: https://www.qube-rt.com/commitments