Quantitative Software Engineer (Mid-Frequency)
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
We are seeking experienced software engineers to join our effort in developing the next generation of trading strategies at Hudson River Trading. As a quantitative research engineer, you will be embedded within a trading team focused on building the technology that powers our medium-frequency systematic trading capabilities.
Responsibilities
- Improve the performance and reliability of our signal research, historical simulation, portfolio construction, and optimization platforms
- Build new tools for conducting statistical analysis over large datasets
- Design infrastructure that effectively leverages our cutting-edge compute cluster
- Work with quantitative researchers to translate their needs into scalable, standardized solutions
- Develop and execute pipelines for onboarding new data sources for ingestion in research and production
- Establish an engineering culture within the trading team, advocating for coding best practices and guiding adoption decisions for open-source tools and packages
Requirements
- Degree in computer science, engineering, or a similar technical discipline
- 3+ years of professional software engineering experience with Python as a primary language
- Significant experience working with Python scientific computing packages (numpy, scipy, pandas, matplotlib, sklearn, etc.)
- Commitment to building well-designed, reliable, and maintainable software
- Passion for building tools that empower researchers
- Outstanding work ethic and ability to thrive in a fast-paced environment
- Strong quantitative reasoning skills and an interest in working at the intersection of research and software engineering
Annual base salary range of $175,000 to $250,000. 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.
We are seeking experienced software engineers to join our effort in developing the next generation of trading strategies at Hudson River Trading. As a quantitative research engineer, you will be embedded within a trading team focused on building the technology that powers our medium-frequency systematic trading capabilities.
Responsibilities
- Improve the performance and reliability of our signal research, historical simulation, portfolio construction, and optimization platforms
- Build new tools for conducting statistical analysis over large datasets
- Design infrastructure that effectively leverages our cutting-edge compute cluster
- Work with quantitative researchers to translate their needs into scalable, standardized solutions
- Develop and execute pipelines for onboarding new data sources for ingestion in research and production
- Establish an engineering culture within the trading team, advocating for coding best practices and guiding adoption decisions for open-source tools and packages
Requirements
- Degree in computer science, engineering, or a similar technical discipline
- 3+ years of professional software engineering experience with Python as a primary language
- Significant experience working with Python scientific computing packages (numpy, scipy, pandas, matplotlib, sklearn, etc.)
- Commitment to building well-designed, reliable, and maintainable software
- Passion for building tools that empower researchers
- Outstanding work ethic and ability to thrive in a fast-paced environment
- Strong quantitative reasoning skills and an interest in working at the intersection of research and software engineering
Annual base salary range of $175,000 to $250,000. 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.
