Qube Research & Technologies
Quantitative Researcher(m/w/x)
Full-timeOn-siteManagement
Zürich
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QUQube Research & Technologies
Market Microstructure Researcher(m/w/x)
Zürich
Full-timeOn-siteSenior
Nejo AI Summary
Analyzing network and exchange protocol captures to reverse-engineer trading systems for a global quantitative investment manager. 5+ years in data analysis or low-level systems engineering with market microstructure familiarity required. Scientific approach to investing, high-impact work on global trading systems.
Requirements
- Degree in Computer Science, Engineering, or related field
- 5+ years of experience in data analysis and/or low-level systems and network engineering
- Strong skills in Python and time-series analysis
- Understanding of network protocols such as TCP/IP and Ethernet
- Familiarity with market microstructure and low-latency trading
- Advanced networking and GNU/Linux knowledge
Tasks
- Analyze network and exchange protocol captures
- Identify inefficiencies in communication performance
- Research exchange features and attend presentations
- Communicate with exchange counterparts for insights
- Reverse-engineer trading systems to improve fill rates
- Design and conduct experiments for execution optimization
- Collaborate with trading and research teams
- Ensure best application of findings for direct PnL impact
- Work with large datasets to resolve inefficiencies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies 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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QUQube Research & Technologies
Market Microstructure Researcher(m/w/x)
Zürich
Full-timeOn-siteSenior
Nejo AI Summary
Analyzing network and exchange protocol captures to reverse-engineer trading systems for a global quantitative investment manager. 5+ years in data analysis or low-level systems engineering with market microstructure familiarity required. Scientific approach to investing, high-impact work on global trading systems.
Requirements
- Degree in Computer Science, Engineering, or related field
- 5+ years of experience in data analysis and/or low-level systems and network engineering
- Strong skills in Python and time-series analysis
- Understanding of network protocols such as TCP/IP and Ethernet
- Familiarity with market microstructure and low-latency trading
- Advanced networking and GNU/Linux knowledge
Tasks
- Analyze network and exchange protocol captures
- Identify inefficiencies in communication performance
- Research exchange features and attend presentations
- Communicate with exchange counterparts for insights
- Reverse-engineer trading systems to improve fill rates
- Design and conduct experiments for execution optimization
- Collaborate with trading and research teams
- Ensure best application of findings for direct PnL impact
- Work with large datasets to resolve inefficiencies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies 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
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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