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Internship, Quantitative Research/Trading(m/w/x)
Generating predictive signals for systematic investment strategies, leveraging diverse datasets; monitoring behavior on trading platforms. Advanced quantitative degree and high technical knowledge in statistics, ML, NLP, or AI techniques required. Work-life balance prioritized.
Requirements
- Bachelor's or Master's degree
- Advanced degree in quantitative field
- High level of technical knowledge in statistics, machine learning, NLP, or AI techniques
- Coding skills in Python, C++, or C#
- Experience in exploring large datasets
- Capacity to multi-task in fast-paced environment with attention to detail
- Ability to work autonomously and collaboratively
- Excellent communication skills
- Fluency in English, any other language is a plus
Tasks
- Develop high-quality predictive signals
- Leverage diverse datasets to identify statistical patterns
- Collaborate with researchers to refine methodologies
- Lead the full research cycle from idea generation to implementation
- Monitor signal behavior on the trading platform
- Track performance and improve execution efficiency
- Identify and manage potential risks
- Refine and scale systematic processes with senior researchers and traders
- Apply quantitative and programming skills to optimize strategies
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- C#
Benefits
Flexible Working
- Healthy work-life balance
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Internship, Quantitative Research/Trading(m/w/x)
Generating predictive signals for systematic investment strategies, leveraging diverse datasets; monitoring behavior on trading platforms. Advanced quantitative degree and high technical knowledge in statistics, ML, NLP, or AI techniques required. Work-life balance prioritized.
Requirements
- Bachelor's or Master's degree
- Advanced degree in quantitative field
- High level of technical knowledge in statistics, machine learning, NLP, or AI techniques
- Coding skills in Python, C++, or C#
- Experience in exploring large datasets
- Capacity to multi-task in fast-paced environment with attention to detail
- Ability to work autonomously and collaboratively
- Excellent communication skills
- Fluency in English, any other language is a plus
Tasks
- Develop high-quality predictive signals
- Leverage diverse datasets to identify statistical patterns
- Collaborate with researchers to refine methodologies
- Lead the full research cycle from idea generation to implementation
- Monitor signal behavior on the trading platform
- Track performance and improve execution efficiency
- Identify and manage potential risks
- Refine and scale systematic processes with senior researchers and traders
- Apply quantitative and programming skills to optimize strategies
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- C#
Benefits
Flexible Working
- Healthy work-life balance
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.
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