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 our 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. You will work alongside quantitative researchers and portfolio managers to develop the technology that underpins systematic trading strategies. This role is embedded within the research environment, where engineering and quantitative research are closely integrated. You will help develop research frameworks, productionise trading strategies, and improve the engineering standards that support systematic investment research. Your future role within QRT Build, maintain and enhance the quantitative trading framework used for research and production Productionise quantitative trading strategies developed by researchers Collaborate with engineers and research teams to improve research workflows, development practices and engineering standards Develop tooling and infrastructure that supports the full lifecycle of systematic trading strategies Support technically high-quality research projects and legacy systems; we expect you to drive technical excellence across parallel, large-scale compute. A collaboration path: You will work alongside AI/ML specialists to integrate machine learning into the research process; we offer mentorship and career growth. Your present skillset 5 or more years of professional experience as a Quantitative Developer or Quantitative Technologist working directly with quantitative research teams within a systematic investment environment - Strong Python and modern C++ experience - Experience building large-scale low-latency quantitative systems and/or high-performance compute - Experience building software for mathematical models with a focus on code quality and maintainability - Experience with Linux, Bash, Git, and CI/CD - Experience working with SQL and large datasets - Strong communication and problem-solving skills - Ability to work directly with researchers and portfolio managers to enhance QRT’s research platforms. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT encourages 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.

Quantitative Developer - Python