Market Structure Optimization Engineer

Job Description

Hudson River Trading is seeking a Market Structure Optimization Engineer to join its Market Structure Analytics team. In this role, the candidate will employ data-driven methodologies to minimize friction in the company's real-time interaction with financial markets. This position is crucial for helping HRT optimize its connection with unique trading venues, directly impacting the performance of HRT’s trading.

Responsibilities:

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations, and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate the collection and visualization of metrics that quantify the efficacy of exchange communication
• Formulate and conduct controlled experiments to measure the impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve the fill rate of the company's hardware-based trading strategy
• Reduce the incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Requirements:

• Proficiency in data analytics, including statistics, data visualization, and working with large datasets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• A degree in Data Analytics or a related field
• Professional experience in latency reduction, preferably in finance
• Basic understanding of proprietary trading and exchange technologies
• Some familiarity with the details of modern computer systems and networks
• Experience with real-time exchange market data and order entry a plus