Strategic Technical Associate
Qube Research & Technologies - Paris, London
Posted Feb 24, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
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About this role
Strategic Technical Associate Paris, 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. 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. Your future role at QRT: - Support cross-functional strategic projects across research, technology, and business teams - Contribute to internal AI and LLM-related initiatives - Build lightweight data tools and automation scripts - Assist with small coding and workflow optimization projects - Prepare structured analyses and executive-ready materials - Coordinate and follow up on multi-stakeholder initiatives to ensure strong execution Your present skillset: - Strong academic background in mathematics, engineering, computer science, finance, economics, or related fields - Demonstrated excellence through academic performance, competitions, hackathons, research, or meaningful side projects Skills: - Strong analytical and logical reasoning abilities - Coding
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