Hudson River Trading
Algorithm Development (Quant Research & Trading) Internship – Summer 2027
Eligibility
- Full-time students eligible for internship roles in quantitative disciplines.
Summer 2027 internship for full-time quantitative students to research, implement, and test automated trading strategies with mentorship and rotations across trading teams in London, New York, and Singapore.
Responsibilities
- Research and implement automated trading strategies.
- Rotate between high- and mid-frequency trading and machine learning teams.
- Use quantitative modeling techniques to predict market behavior.
- Write software to improve trading strategies.
- Collaborate with researchers, traders, and developers.
- Run simulations and analyze data.
- Build predictive financial market models.
Requirements
- Full-time undergraduate or master's student in a quantitative discipline.
- Experience programming in Python, C++ preferred for low-latency interests.
- Experience with statistical analysis, numerical programming, or machine learning.
- Strong communication skills.
- Passion for applying quantitative models to real-world problems.
Skills
- Python
- C++
- Statistical analysis
- Numerical programming
- Machine learning
- Pandas
- Numpy
- R
- MATLAB
- Employer posted
- Last checked