Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. As an intern, you will have the opportunity to rotate between our high-frequency trading, multi-frequency trading, and/or machine learning teams. In close collaboration with your mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies.
We are looking for quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field.
What to Expect
- Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
- Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
- Work on impactful projects in close collaboration with experienced researchers, traders, and developers
- Use our world-class compute cluster to run simulations and crunch data
- Build predictive models for financial markets using a combination of market and non-market data
- Attend and participate in Tech Talks that provide an overview of markets and HRT’s trading philosophy
- Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer
Qualifications
- You are a full-time undergraduate, masters, or PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027
- Experience programming in Python is a must; C++ is a plus for those interested in high-frequency trading
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- A passion for applying quantitative models and technology toward solving real-world problems
- Strong communication skills
