Hudson River Trading (HRT) is seeking exceptional full-time students to join their Algorithm Development Summer Internship Program to focus on the research and implementation of automated trading strategies.
Requirements
- 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
Responsibilities
- 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
- Apply sophisticated quantitative modeling techniques to understand and predict market behavior
- Write software to improve our trading strategies
Other
- 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
- A passion for applying quantitative models and technology toward solving real-world problems
- Strong communication skills
