We are partnering with a leading quantitative trading firm that is seeking a Market Structure Analytics Specialist to join their team in London. This is a unique opportunity to leverage data-driven methodologies to optimize market interactions and enhance trading performance.
Responsibilities:
Analyze Network Data : Capture and analyze time series network and exchange protocol data. Market Familiarity : Understand specific market details, attend presentations, and liaise with exchange counterparts. Research Exchange Features : Investigate exchange capabilities and architecture. Automate Metrics Collection : Develop automated processes for collecting and visualizing metrics to assess exchange communication efficiency. Conduct Experiments : Design and execute controlled experiments to evaluate the impact of changes to trading infrastructure. Cross-Team Communication : Share ideas, requirements, and results with various teams. Optimize Trading Strategy : Enhance the fill rate of hardware-based trading strategies. Reduce Cancel-Rejects : Minimize the occurrence of cancel-reject responses. Investigate Latency : Examine and report on latency-sensitive exchanges. Skills:
Data Analytics : Proficient in statistics and data visualization. Network Protocols : Basic understanding of TCP and UDP. Python : Extensive experience with Pandas, Numpy/Scipy. System Knowledge : Familiar with modern computer systems and networks. Market Data : Experience with real-time exchange data is a plus. This trading firm values diversity and offers programs to support a healthy work-life balance. Apply today to be part of a team that drives innovation and delivers high-quality returns for their investors.
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Analyze Network Data : Capture and analyze time series network and exchange protocol data. Market Familiarity : Understand specific market details, attend presentations, and liaise with exchange counterparts. Research Exchange Features : Investigate exchange capabilities and architecture. Automate Metrics Collection : Develop automated processes for collecting and visualizing metrics to assess exchange communication efficiency. Conduct Experiments : Design and execute controlled experiments to evaluate the impact of changes to trading infrastructure. Cross-Team Communication : Share ideas, requirements, and results with various teams. Optimize Trading Strategy : Enhance the fill rate of hardware-based trading strategies. Reduce Cancel-Rejects : Minimize the occurrence of cancel-reject responses. Investigate Latency : Examine and report on latency-sensitive exchanges. Skills:
Data Analytics : Proficient in statistics and data visualization. Network Protocols : Basic understanding of TCP and UDP. Python : Extensive experience with Pandas, Numpy/Scipy. System Knowledge : Familiar with modern computer systems and networks. Market Data : Experience with real-time exchange data is a plus. This trading firm values diversity and offers programs to support a healthy work-life balance. Apply today to be part of a team that drives innovation and delivers high-quality returns for their investors.
#J-18808-Ljbffr
