Quantitative Researcher
Qube Research & Technologies
Apply to this job London Until 8/22/2026 H-1B sponsor history First posted March 27, 2025 Last posted November 3, 2025
Job description
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.
About this role
Summary
Develop predictive signals, analyze large datasets, and lead research from strategy to implementation.
Job title
Quantitative Researcher
Experience level
advanced degree in a quantitative field
Industry
finance
Location requirements
London, remote work not specified
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Skills & keywords
Required skills
PythonRMatlabC++C#
Preferred skills
data explorationmodel performance monitoringsystematic strategies
Specializations
statisticsmachine learningNLPAI
Locations
Structured locations inferred from the posting.
London, UK
Work arrangement unknown City
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