Market Structure Optimization Engineer

Job Description

Hudson River Trading (HRT) is seeking a Market Structure Optimization Engineer to join its Market Structure Analytics team. The successful candidate will employ data-driven methodologies to minimize friction in HRT's real-time interaction with financial markets. This role is crucial for optimizing how HRT connects with unique trading venues, offering an immediate and direct impact on the company's trading performance.

Responsibilities:

• Analyze time series network and exchange protocol captures
• Become familiar with market details, attend presentations, and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce 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 data sets
• 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
• Ability to collect and interpret network and/or financial market data
• Professional experience in latency reduction, preferably in finance
• Basic understanding of proprietary trading and exchange technologies

What HRT Offers:

• Opportunity to make an immediate and direct impact through measurable improvements to the performance of HRT’s trading.