Squarepoint Capital
Junior Commodities Fundamental Analyst(m/w/x)
Full-timeOn-siteJunior
Genf
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QUQube Research & Technologies
Data Scientist - Commodities(m/w/x)
Genf
Full-timeOn-siteExperienced
Data Science
Nejo AI Summary
Designing data pipelines and transformations for commodities trading decisions at a global quant investment manager. Postgraduate degree in a quantitative discipline and financial datasets experience required. Direct collaboration with trading desk and data engineers.
Requirements
- 3+ years of experience as a Data Scientist or similar position
- Postgraduate degree in a quantitative discipline
- Advanced programming experience in Python
- Demonstrable interest in financial markets
- Experience working with traditional and alternative financial datasets
- Excellent communication skills
- Ability to work in a high-performance environment
Tasks
- Collaborate with the trading desk to design data pipelines
- Work with data engineers to onboard relevant datasets
- Implement data transformations for investment decisions
- Prototype and design code to extract and clean data
- Manage the onboarding process for new datasets
- Proactively solve data-related problems to reduce production time
- Innovate and experiment with new data extraction methods
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- NumPy
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
Data Scientist - Commodities(m/w/x)
Genf
Full-timeOn-siteExperienced
Data Science
Nejo AI Summary
Designing data pipelines and transformations for commodities trading decisions at a global quant investment manager. Postgraduate degree in a quantitative discipline and financial datasets experience required. Direct collaboration with trading desk and data engineers.
Requirements
- 3+ years of experience as a Data Scientist or similar position
- Postgraduate degree in a quantitative discipline
- Advanced programming experience in Python
- Demonstrable interest in financial markets
- Experience working with traditional and alternative financial datasets
- Excellent communication skills
- Ability to work in a high-performance environment
Tasks
- Collaborate with the trading desk to design data pipelines
- Work with data engineers to onboard relevant datasets
- Implement data transformations for investment decisions
- Prototype and design code to extract and clean data
- Manage the onboarding process for new datasets
- Proactively solve data-related problems to reduce production time
- Innovate and experiment with new data extraction methods
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Pandas
- NumPy
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?
- Squarepoint Capital
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