Junior Quantitative Latency Engineer
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!
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
Qualifications
- 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
The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.