Algorithm Developer (Quant Researcher) – 2027 Grads
About The Position
Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.
Requirements
- 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 2027.
- 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.
Responsibilities
- Building and maintaining the models that drive trading.
- Applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.
- Researching, developing, and testing novel order execution and model training methods to increase trading efficiency.
- Running models live on high-performance trading infrastructure.
- Analyzing daily performance to maintain ongoing profitability.
Benefits
- Discretionary performance-based bonuses
- Competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
