
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.
You will join our Paris or London office, working closely with senior leadership and cross-functional teams on high-impact strategic and technology-driven initiatives. This role is designed as a high-exposure, accelerated learning opportunity for exceptional early-career profiles who combine strong analytical horsepower with genuine technical curiosity. You will operate at the intersection of strategy, AI initiatives, research enablement, operational projects, and internal tooling, contributing directly to initiatives that impact the firm at scale.
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QRT is an equal opportunity employer. We view diversity as essential to our success and foster an open, respectful environment where collaboration drives collective achievement. Alongside professional growth, we provide initiatives that support a healthy and sustainable 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