Qube Research & Technologies
Internship, Quantitative Research/Trading(m/w/x)
Full-timeInternshipOn-site
Genf, Zürich
New Job?Nejo!
The AI Job Search Engine
QUQube Research & Technologies
Quantitative Researcher – PhD & Postdoc Opportunities(m/w/x)
Zürich
Full-timeInternshipOn-site
Nejo AI Summary
Developing predictive signals from diverse datasets for systematic investment management. Final-year PhD student or postdoctoral researcher eligibility required. Collaborative research environment.
Requirements
- Eligibility as final-year PhD student or postdoctoral researcher
- PhD degree in a quantitative field
- Pragmatic attitude towards theoretical models
- Proficiency in Python or another programming language
- Experience with large datasets
- Multitasking ability in a fast-paced environment
- Intellectual curiosity for data exploration
- Ability to work autonomously and collaboratively
- Strong communication skills
- Fluency in English
Tasks
- Develop high-quality predictive signals
- Leverage diverse datasets to identify statistical patterns
- Collaborate with researchers to exchange ideas
- Refine methodologies with team input
- Translate theoretical models into production-ready signals
- Lead the full research cycle from idea generation to implementation
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- MATLAB
- C++
- C#
Benefits
Family Support
- Healthy work-life balance initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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QUQube Research & Technologies
Quantitative Researcher – PhD & Postdoc Opportunities(m/w/x)
Zürich
Full-timeInternshipOn-site
Nejo AI Summary
Developing predictive signals from diverse datasets for systematic investment management. Final-year PhD student or postdoctoral researcher eligibility required. Collaborative research environment.
Requirements
- Eligibility as final-year PhD student or postdoctoral researcher
- PhD degree in a quantitative field
- Pragmatic attitude towards theoretical models
- Proficiency in Python or another programming language
- Experience with large datasets
- Multitasking ability in a fast-paced environment
- Intellectual curiosity for data exploration
- Ability to work autonomously and collaboratively
- Strong communication skills
- Fluency in English
Tasks
- Develop high-quality predictive signals
- Leverage diverse datasets to identify statistical patterns
- Collaborate with researchers to exchange ideas
- Refine methodologies with team input
- Translate theoretical models into production-ready signals
- Lead the full research cycle from idea generation to implementation
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- MATLAB
- C++
- C#
Benefits
Family Support
- Healthy work-life balance initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Qube Research & Technologies
Industry
FinancialServices
Description
The company is a global quantitative and systematic investment manager, implementing a scientific approach to investing.
Not a perfect match?
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