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Qube Research & Technologies

Quantitative Strategist

Paris, France

Location
Paris, France
Work
Not stated
Employment
Full-time
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
46 months ago

About the role

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.

Your future role within QRT

  • Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
  • Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
  • Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
  • Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring

Your present skillset

  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
  • Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
  • Experience in finance is a plus
  • Excellent communication skills

Your enhanced experience and learning opportunities at QRT

  • Mentorship from industry professionals
  • Detailed practical hands-on experience with portfolio management and analysis
  • Contribution to high level decision making on global businesses
  • Exposure to large scale data analysis technology
  • Experience in a collaborative and collegial corporate environment

Source

Posted by Qube Research & Technologies on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 06 Nov 2026 23:47 UTC; the original is the reference.

View the original ad ↗

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