The role:
A tier-one global quantitative investment firm is hiring a Low Latency Execution Researcher to optimise exchange connectivity and interaction for latency-sensitive, high-frequency trading strategies.
This is a highly technical role combining Python-based time-series analysis , network/protocol investigation , and hands-on experimentation to improve execution performance with direct PnL impact.
Key responsibilities
- Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
- Research exchange features, attend presentations, and liaise with exchange counterparts to gather insights
- Reverse-engineer execution behaviour, design experiments, and improve fill rates
- Work directly with trading and research teams to ensure findings translate into execution improvements and direct PnL impact
- Analyse large datasets to identify and resolve inefficiencies in internal execution systems and exchange communication
Key skills & experience
- Degree in Computer Science, Engineering, or related field
- Experience in data analysis and/or low-level systems + network engineering
- Strong Python and time-series analysis skills
- Understanding of network protocols such as TCP/IP and Ethernet
- Familiarity with market microstructure / low-latency trading is a plus
- Advanced networking and GNU/Linux knowledge is a plus
Why this role
- High-impact work improving execution on latency-sensitive venues
- Close collaboration with elite trading + quant research teams
- Strong engineering culture focused on experimentation and performance optimisation
Contact:
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