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Market Microstructure Researcher(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
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Market Microstructure Researcher(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
Über das Unternehmen
Qube Research & Technologies
Branche
FinancialServices
Beschreibung
The company is a global quantitative and systematic investment manager, implementing a scientific approach to investing.
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