Market Structure Optimization Engineer
At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading.
Job Description
Hudson River Trading is hiring a Market Structure Optimization Engineer for our brand new Market Structure Analytics team. In joining this team, you will be responsible for employing data-driven methodologies to minimize friction in our real-time interaction with financial markets. This role is crucial to helping HRT optimize the way we connect with unique trading venues.
As a Market Structure Optimization Engineer you’ll have an incredible opportunity to make an immediate and direct impact through measurable improvements to 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 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
Profile
- You possess a degree in Data Analytics or a related field
- You can collect and interpret network and/or financial market data
- You have professional experience in latency reduction, preferably in finance
- You have a basic understanding of proprietary trading and exchange technologies
Skills
- 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)
- Some familiarity with the details of modern computer systems and networks
- Experience with real time exchange market data and order entry a plus
Annual base salary range of $150,000 to $200,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.
Hudson River Trading is hiring a Market Structure Optimization Engineer for our brand new Market Structure Analytics team. In joining this team, you will be responsible for employing data-driven methodologies to minimize friction in our real-time interaction with financial markets. This role is crucial to helping HRT optimize the way we connect with unique trading venues.
As a Market Structure Optimization Engineer you’ll have an incredible opportunity to make an immediate and direct impact through measurable improvements to 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 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
Profile
- You possess a degree in Data Analytics or a related field
- You can collect and interpret network and/or financial market data
- You have professional experience in latency reduction, preferably in finance
- You have a basic understanding of proprietary trading and exchange technologies
Skills
- 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)
- Some familiarity with the details of modern computer systems and networks
- Experience with real time exchange market data and order entry a plus
Annual base salary range of $150,000 to $200,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.
