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Location
In office (London)
Seniority
Middle · 3+ years exp
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 5, 2026. Qube Research & Technologies scores A on the Alion truth index.

Overview
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Impact
Profile match
Qube Research & Technologies is a quantitative hedge fund and investment manager that runs systematic trading strategies across global markets. It applies statistical research, machine learning and high-performance technology to trade equities, futures, options, credit and other liquid asset classes. The firm was founded in 2018 by a team from Credit Suisse's quantitative trading business led by Pierre-Emmanuel Juillard and is headquartered in 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.

We're looking for a C++ Quantitative Developer to join our global ETF Market Making team. Working closely with quantitative researchers and traders, you'll help build and enhance the technology that powers our market making strategies. This is an opportunity to develop high-performance trading systems while gaining exposure to pricing models, execution algorithms and electronic trading in one of the most competitive areas of the market. The team trades a diverse range of instruments across markets in APAC, EMEA and the US.

Your future role within QRT:

  • Designing and developing high-performance C++ applications supporting ETF market making and electronic trading
  • Building and enhancing pricing, quoting, and execution components across the trading stack
  • Working closely with quantitative researchers to implement and optimise trading models and algorithms
  • Developing market data infrastructure and improving the performance and reliability of trading systems
  • Analysing system behaviour and identifying opportunities to improve latency, throughput, and resilience
  • Collaborating with traders to deliver technology that supports live trading and rapidly evolving market requirements

Your present skillset:

  • 3+ years' experience developing high-performance applications in modern C++ 

  • Strong understanding of algorithms, data structures, and multithreaded programming
  • Experience developing software on Linux platforms
  • Solid understanding of low-latency systems and performance optimisation techniques
  • Interest in quantitative finance, electronic trading, or market making
  • Strong problem-solving skills and the ability to work collaboratively with researchers, traders, and engineers

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 achieve a healthy work-life balance.

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