Junior Quantitative Latency Engineer

Hudson River Trading • Chicago, IL

11d

About The Position

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Requirements

• A technical degree or equivalent practical experience
• Experience with Python and Pandas
• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Strong curiosity about how financial systems, networks, and cutting-edge technology work, and a willingness to learn new concepts quickly
• Ability to think analytically, ask insightful questions, and approach unfamiliar problems methodically
• Strong cross-functional communication skills and an interest in collaborating with others

Responsibilities

• Contribute directly to impactful improvements to HRT’s low-latency trading systems
• Analyze large datasets to understand how complex systems and networks behave in real-world conditions, such as exchange technology and performance of HRT systems
• Build Python-based tools and scripts to collect, clean, and visualize data in a clear and actionable way
• Design and run experiments to measure the impact of changes and identify opportunities for improvement
• Collaborate closely with HRT’s Algorithm Development, Trading Technology, and Business Development teams to discover, research, and implement improvements to HRT’s architecture
• Liaise with exchanges globally to better understand their technology and stay up to date on changes and improvements

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed