Quant Researcher: Trading Algorithms Engineer

Trading Interview; New York (NY); On-site; USD 270,000 - 330,000; Full time

Job summary

Hudson River Trading (HRT) is seeking full-time PhD students to join their Algorithm Development teams in New York, London, and Singapore. You will build and maintain models driving trading, applying rigorous statistics to large market datasets to create predictive models.

You will work with engineers to research, develop, and test novel methods for order execution and model training, deploying live on high-performance infrastructure and analyzing performance to maintain profitability.

Qualifications

• Full-time PhD student in a quantitative discipline eligible for full-time roles in 2027.
• Fluency in Python.
• Experience with statistical analysis, numerical programming, or machine learning in Python.
• Pandas/Numpy, R, and/or MATLAB.
• Brilliant analytical and problem-solving skills.
• Ability to work creatively and independently on long-term technical problems.

Responsibilities

• Research, develop, and test novel order execution and model training methods to increase trading efficiency.
• Run models live on high-performance trading infrastructure and analyze daily performance for profitability.
• Collaborate with Algorithm Developers and Software Engineers on research and deployment.

Skills

Python

Statistical analysis

Machine learning

Pandas/Numpy

R

MATLAB

Education

PhD student in quantitative discipline

Tools

Pandas/Numpy

R

MATLAB

Job description

Hudson River Trading (HRT) is seeking full-time PhD students to join their Algorithm Development teams in New York, London, and Singapore. You will build and maintain models driving trading, applying rigorous statistics to large market datasets to create predictive models.

You will work with engineers to research, develop, and test novel methods for order execution and model training, deploying live on high-performance infrastructure and analyzing performance to maintain profitability.