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Quantitative Researcher(m/w/x)
Developing systematic trading strategies with machine learning on diverse datasets for digital asset investment. Solid experience in model building, backtesting, and execution engine design required. Focus on Alpha Strategies in institutional digital asset firm.
Requirements
- Educational background in technical field (Mathematics, Statistics, Physics, or Theoretical Computer Science preferred)
- Solid experience in model building, backtesting, parameter optimization, execution engine design, performance tracking
- Strong analytical skills and large dataset analysis experience
- Strong mathematical and statistical modeling skills (e.g., time-series)
- Independent, creative data analysis and clear communication of complex ideas
- Beneficial basic knowledge of digital asset space (not required)
- Intermediate programming background in Python and C++
- Fluent English speaking ability
- Ability to travel periodically (NYC, London, Zug)
Tasks
- Develop sophisticated investment models
- Deliver insights into market behavior
- Apply quantitative techniques (e.g., machine learning) to datasets
- Create and test complex investment ideas
- Develop algorithms for trading decisions
- Analyze investment model performance and behavior
- Collaborate with experienced developers
- Translate investment models into production code
Work Experience
- approx. 1 - 4 years
Education
- Vocational certification
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
Benefits
Bonuses & Incentives
- Discretionary bonus
Healthcare & Fitness
- Health benefits
- Dental benefits
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Quantitative Researcher(m/w/x)
Developing systematic trading strategies with machine learning on diverse datasets for digital asset investment. Solid experience in model building, backtesting, and execution engine design required. Focus on Alpha Strategies in institutional digital asset firm.
Requirements
- Educational background in technical field (Mathematics, Statistics, Physics, or Theoretical Computer Science preferred)
- Solid experience in model building, backtesting, parameter optimization, execution engine design, performance tracking
- Strong analytical skills and large dataset analysis experience
- Strong mathematical and statistical modeling skills (e.g., time-series)
- Independent, creative data analysis and clear communication of complex ideas
- Beneficial basic knowledge of digital asset space (not required)
- Intermediate programming background in Python and C++
- Fluent English speaking ability
- Ability to travel periodically (NYC, London, Zug)
Tasks
- Develop sophisticated investment models
- Deliver insights into market behavior
- Apply quantitative techniques (e.g., machine learning) to datasets
- Create and test complex investment ideas
- Develop algorithms for trading decisions
- Analyze investment model performance and behavior
- Collaborate with experienced developers
- Translate investment models into production code
Work Experience
- approx. 1 - 4 years
Education
- Vocational certification
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
Benefits
Bonuses & Incentives
- Discretionary bonus
Healthcare & Fitness
- Health benefits
- Dental benefits
About the Company
Numeus
Industry
FinancialServices
Description
Numeus is a diversified digital asset investment firm built to the highest institutional standards, focusing on Alpha Strategies, Trading, and Asset Management.
Not a perfect match?
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