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 quantitative researchers and portfolio managers to improve research workflows, development practices and engineering standards
Develop tooling and infrastructure that supports the full lifecycle of systematic trading strategies
Contribute to machine learning and data driven research initiatives through software engineering and platform development
Evolve the software platform to meet changing research and business requirements
Support technically complex research projects and deliver robust production solutions
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 development skills
Experience building software for quantitative research and systematic trading workflows
Strong understanding of quantitative trading strategies, with the ability to review and improve research code while understanding the underlying investment logic
Experience developing machine learning pipelines and supporting production deployment
Experience applying AI tools or developing AI enabled solutions
High standards for code quality, testing and software engineering best practices
Ability to manage multiple priorities and work effectively in a collaborative environment
Strong communication skills and the ability to work closely with quantitative researchers, portfolio managers and engineering teams
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.