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Quantitative Researcher – PhD & Postdoc Opportunities(m/w/x)
Description
As a Quantitative Researcher, you will immerse yourself in a collaborative environment, developing predictive signals and leveraging extensive datasets to uncover market opportunities while translating theoretical models into practical applications.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Family Support
- •Healthy work-life balance initiatives
- Qube Research & TechnologiesFull-timeInternshipOn-siteGenf, Zürich
- Qube Research & Technologies
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Quantitative Researcher – PhD & Postdoc Opportunities(m/w/x)
The AI Job Search Engine
Description
As a Quantitative Researcher, you will immerse yourself in a collaborative environment, developing predictive signals and leveraging extensive datasets to uncover market opportunities while translating theoretical models into practical applications.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Family Support
- •Healthy work-life balance initiatives
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.
- Qube Research & Technologies
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Quant Engineer - Capital Market Technologies(m/w/x)
Full-timeOn-siteExperiencedZürich - Qube Research & Technologies
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Full-timeOn-siteSeniorZürich