Qube Research & Technologies
Quantitative Researcher(m/w/x)
Full-timeOn-siteManagement
Zürich
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LGLGT Bank (Schweiz) AG
Quantitative Researcher(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing portfolio optimization and systematic macro strategies for a family-owned asset management group. Superb Python skills and academic publication experience required. Focus on systematic investing and QIS development.
Requirements
- Knowledge in Statistics, Data science, Finance, Python
- Experience in systematic investing or QIS
- Research and implementation of equity factor models
- Superb skills in Python
- Research experience and writing academic publications
- Experience with data management pipelines
- Exposure to Statistics, Machine Learning, Time series
- Understanding of financial markets and data
- Detail orientation with quantitative models
- Experience with financial time series analysis
- Experience with quantitative trading and investment
- Professional English and German as plus
- Energetic, hard-working, and self-motivated personality
- Integrity, honesty, and adherence to regulations
- MSc or PhD degree
Tasks
- Develop robust portfolio optimization models
- Research systematic macro strategies
- Design managed futures strategies
- Analyze equity and fixed income factors
- Execute diverse quantitative research projects
Work Experience
- 2 years
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- PostgreSQL
- Mongo DB
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of LGT Bank (Schweiz) AG 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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LGLGT Bank (Schweiz) AG
Quantitative Researcher(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing portfolio optimization and systematic macro strategies for a family-owned asset management group. Superb Python skills and academic publication experience required. Focus on systematic investing and QIS development.
Requirements
- Knowledge in Statistics, Data science, Finance, Python
- Experience in systematic investing or QIS
- Research and implementation of equity factor models
- Superb skills in Python
- Research experience and writing academic publications
- Experience with data management pipelines
- Exposure to Statistics, Machine Learning, Time series
- Understanding of financial markets and data
- Detail orientation with quantitative models
- Experience with financial time series analysis
- Experience with quantitative trading and investment
- Professional English and German as plus
- Energetic, hard-working, and self-motivated personality
- Integrity, honesty, and adherence to regulations
- MSc or PhD degree
Tasks
- Develop robust portfolio optimization models
- Research systematic macro strategies
- Design managed futures strategies
- Analyze equity and fixed income factors
- Execute diverse quantitative research projects
Work Experience
- 2 years
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- PostgreSQL
- Mongo DB
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of LGT Bank (Schweiz) AG 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
LGT Bank (Schweiz) AG
Industry
FinancialServices
Description
LGT is the world’s largest family-owned and managed Private Banking and Asset Management Group.
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