Hudson River Trading
Algorithm Developer (Quant Research & Trading) – 2027 PhDs
Eligibility
- Full-time PhD student eligible for 2027 full-time graduate roles.
Full-time graduate role for 2027 PhD graduates working as Algorithm Developers to research and develop trading strategies using advanced academic expertise in quantitative fields across global offices.
Responsibilities
- Build and maintain trading models.
- Perform statistical analysis on market data to create predictive models.
- Research and test new order execution and training methods.
- Run models on trading infrastructure and analyze performance.
Requirements
- Full-time PhD student in a quantitative discipline eligible for 2027 full-time roles.
- Fluency in Python.
- Experience with statistical analysis, numerical programming, or machine learning.
- Strong analytical and problem-solving skills.
- Ability to work creatively and independently.
Skills
- Python
- Pandas
- Numpy
- R
- MATLAB
- Statistical analysis
- Machine learning
- Employer posted
- Last checked