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Qube Research & Technologies

Quantitative Researcher

Reposted 7 Days Ago
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In-Office
London, Greater London, England
Mid level
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In-Office
London, Greater London, England
Mid level
The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.
The summary above was generated by AI

Your future role within QRT

  • Your core objective is to create high quality predictive signals.
  • By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
  • Share and discuss research results, methodology, data sets and processes with other researchers.
  • Implement the signals and the relevant datasets within the global execution platform.
  • Monitor signal behaviour and model performance over time.
  • You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
  • Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
  • Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
  • Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
  • Experience in exploring large datasets across multiple time frames is a plus.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.
  • Strong capacity to communicate with technologists, data scientists and traders across the globe.
  • Proven track record in delivering successful systematic strategies.

Top Skills

C#
C++
Matlab
Python
R

Qube Research & Technologies London, England Office

160 Victoria Street, London, United Kingdom, SW1E 5LB

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