Low Latency Execution Researcher (Python | Exchange Protocols | Time-Series) - Quant Trading / Tier

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:

mailto:[email protected]