Squarepoint Capital
Junior Quant Researcher - ML Alpha Research(m/w/x)
Full-timeOn-siteJunior
from USD 60,000 / year
Zug, Genf
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SQSquarepoint Capital
Quant Researcher - Convex Optimization(m/w/x)
Genf, Zug
Full-timeOn-siteJunior
Data Science
Nejo AI Summary
Developing and refining portfolio optimization models for financial trading strategies. Ph.D. in Optimization or related quantitative field required. Collaborative, cross-regional team setup.
Requirements
- Ph.D. in Optimization, Numerical Computing or Scientific Computing
- Strong technical profile with Ph.D. in Physics, Mathematics, Statistics, Econometrics, Financial Engineering, or Operations Research
- 1-5 years financial industry experience
- Proficiency in at least one major programming language (e.g., C++, Java)
- Strong communication and cross-regional teamwork skills
- Pragmatic, open-minded, and creative approach
- Ability to work under pressure
Tasks
- Research and identify new portfolio optimization models for traders
- Propose and implement modifications to existing tools
- Develop a strong understanding of strategy optimization needs
- Refine portfolio construction with traders and portfolio managers
- Review reports on existing tools and optimization problems
- Explore new methods, software, and ideas to improve current systems
Work Experience
1 - 5 years
Education
Doctoral / PhD
Languages
English – Business Fluent
Tools & Technologies
C++Java
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Squarepoint Capital 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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SQSquarepoint Capital
Quant Researcher - Convex Optimization(m/w/x)
Genf, Zug
Full-timeOn-siteJunior
Data Science
Nejo AI Summary
Developing and refining portfolio optimization models for financial trading strategies. Ph.D. in Optimization or related quantitative field required. Collaborative, cross-regional team setup.
Requirements
- Ph.D. in Optimization, Numerical Computing or Scientific Computing
- Strong technical profile with Ph.D. in Physics, Mathematics, Statistics, Econometrics, Financial Engineering, or Operations Research
- 1-5 years financial industry experience
- Proficiency in at least one major programming language (e.g., C++, Java)
- Strong communication and cross-regional teamwork skills
- Pragmatic, open-minded, and creative approach
- Ability to work under pressure
Tasks
- Research and identify new portfolio optimization models for traders
- Propose and implement modifications to existing tools
- Develop a strong understanding of strategy optimization needs
- Refine portfolio construction with traders and portfolio managers
- Review reports on existing tools and optimization problems
- Explore new methods, software, and ideas to improve current systems
Work Experience
1 - 5 years
Education
Doctoral / PhD
Languages
English – Business Fluent
Tools & Technologies
C++Java
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Squarepoint Capital 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
Squarepoint Capital
Industry
FinancialServices
Description
Squarepoint Capital focuses on investment and trading strategies, leveraging advanced quantitative methods and technology to drive financial performance.
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