Quantitative Researcher, Challenge Design Specialist – QRT Academy
Qube Research & Technologies - London
Posted Jan 22, 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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Schedule
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- Weekend work
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Application
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About this role
Quantitative Researcher, Challenge Design Specialist – QRT Academy 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. QRT Academy advances research and research projects within QRT and with academic institutions, delivers technical training across research, technology, and trading, and, in collaboration with other functions, leads QRT's engagement with the academic community. Your future role within QRT - Design, run, and scale mathematical problem-solving challenges, competitions, and interactive academic events across leading universities. - Work closely with researchers, traders, and the talent team to design original mathematical problems, logic puzzles, and quantitative challenges that reveal how candidates think and reason under uncertainty, as well as trading games and hackathons. - Experiment with and deliver new formats for academic engagement, including online, hybrid, and in-person initiatives, with a focus on creative and diagnostic challenge design. - Build and maintain relationships with students, societies, and academic departments. - Act as an ambassador to the academic community, contributing to and shaping the firm's long-term outreach and challenge-design strategy. Your present skillset - Strong education in mathematics or a closely related quantitative field (e.g. statistics, machine learning, finance, computational finance).
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