Keyrock
Quantitative Researcher(m/w/x)
Full-timeRemoteExperienced
Zug
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SWSwissblock
Quantitative Researcher | Systematic Equity Strategies(m/w/x)
Baar
Full-timeWith Home OfficeJunior
Nejo AI Summary
Generating proprietary equity alpha signals with algorithmic trading and market analysis. 1-2 years equity quantitative research experience required. Performance-based annual bonus, high-ownership environment.
Requirements
- Background in equity signal research and systematic strategies
- Intimate knowledge of alpha generation process
- Proven track record of rigorous research methodologies
- 1-2 years equity quantitative research experience
- Signal research for systematic strategies focus
- Attention to detail
- Process-oriented research approach
- Accuracy from data ingestion to signal validation
- Problem-solving abilities
- Translate complex math to tradable strategies
- Pragmatic and real trading mindset
- Programming skills (e.g., Python)
- Understanding of data structures
- Understanding of standard statistics
- Understanding of data algorithms
- Familiarity with solvers and optimization techniques (plus)
- Masters or PhD in quantitative field
- Quantitative field: Applied Mathematics, Physics, Engineering, or Quantitative Finance
- Strong work ethic
- Collaborative mindset
- Clear and concise verbal communication skills in English
- Clear and concise written communication skills in English
Tasks
- Contribute to the full research lifecycle of proprietary signals
- Focus on quantitative signal generation
- Collaborate with quantitative researchers to expand and refine signals
- Support the development, backtesting, and modeling of novel equity alpha signals
- Maintain precision in data cleaning and model validation
- Ensure the integrity of the signal lifecycle
- Design proprietary tools and systems for quantitative signal research
- Build and maintain the systems underpinning the research pipeline
Work Experience
- 1 - 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- solvers
- optimization techniques
Benefits
Bonuses & Incentives
- Performance-based annual bonus
Startup Environment
- Collaborative, high-ownership environment
Informal Culture
- Excellent colleagues
Career Advancement
- Empowerment and career development
Modern Office
- Modern office
Flexible Working
- Flexible remote work
Team Events
- Regular company events
Other Benefits
- Progressive social benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Swissblock 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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SWSwissblock
Quantitative Researcher | Systematic Equity Strategies(m/w/x)
Baar
Full-timeWith Home OfficeJunior
Nejo AI Summary
Generating proprietary equity alpha signals with algorithmic trading and market analysis. 1-2 years equity quantitative research experience required. Performance-based annual bonus, high-ownership environment.
Requirements
- Background in equity signal research and systematic strategies
- Intimate knowledge of alpha generation process
- Proven track record of rigorous research methodologies
- 1-2 years equity quantitative research experience
- Signal research for systematic strategies focus
- Attention to detail
- Process-oriented research approach
- Accuracy from data ingestion to signal validation
- Problem-solving abilities
- Translate complex math to tradable strategies
- Pragmatic and real trading mindset
- Programming skills (e.g., Python)
- Understanding of data structures
- Understanding of standard statistics
- Understanding of data algorithms
- Familiarity with solvers and optimization techniques (plus)
- Masters or PhD in quantitative field
- Quantitative field: Applied Mathematics, Physics, Engineering, or Quantitative Finance
- Strong work ethic
- Collaborative mindset
- Clear and concise verbal communication skills in English
- Clear and concise written communication skills in English
Tasks
- Contribute to the full research lifecycle of proprietary signals
- Focus on quantitative signal generation
- Collaborate with quantitative researchers to expand and refine signals
- Support the development, backtesting, and modeling of novel equity alpha signals
- Maintain precision in data cleaning and model validation
- Ensure the integrity of the signal lifecycle
- Design proprietary tools and systems for quantitative signal research
- Build and maintain the systems underpinning the research pipeline
Work Experience
- 1 - 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- solvers
- optimization techniques
Benefits
Bonuses & Incentives
- Performance-based annual bonus
Startup Environment
- Collaborative, high-ownership environment
Informal Culture
- Excellent colleagues
Career Advancement
- Empowerment and career development
Modern Office
- Modern office
Flexible Working
- Flexible remote work
Team Events
- Regular company events
Other Benefits
- Progressive social benefits
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Swissblock 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Swissblock
Industry
FinancialServices
Description
The company specializes in systematic trading algorithms and advanced global macro and crypto analytics, delivering innovative financial solutions.
Not a perfect match?
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