Hudson River Trading is a company that employs a scientific approach to trading financial products. They are seeking Algorithm Developers to build and maintain predictive trading models using statistical analysis on market data, collaborating with team members to enhance trading efficiency.
Building and maintaining the models that drive our trading
Applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models
Research, develop, and test novel order execution and model training methods to increase trading efficiency
Running models live on our high-performance trading infrastructure
Analyzing daily performance to maintain ongoing profitability
Qualification
Required
You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
Experience programming in Python and/or C++
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
Brilliant analytical and problem-solving skills
Ability to work creatively and independently on long-term technical problems
Preferred
Benefits
Sign-on and discretionary performance bonus will be provided as part of the total compensation package
Company-paid medical and/or other benefits
Hudson River Trading opertes as a multi-asset class quantitative trading firm.