Posted July 13, 2026

Algorithm Developer (Quant Research & Trading) – 2027 PhDs

Hudson River Trading

Category:Quantitative Research

Location:New York London Singapore

Seniority: Student
Employment type: Full-time
Work arrangement: On-site
Salary: $300k
Bonus: Yes

Requirements

You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is 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

About the role

Ideal candidates are excited to apply their research expertise to identify new opportunities in worldwide markets, enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently, and are critical thinkers who can learn and implement new skills in a fast-changing environment.

Responsibilities

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
Working alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency
Running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability
Applying advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies
Identifying new opportunities in worldwide markets

What you'll get

$300k base salary
sign-on bonus
discretionary performance bonus
company-paid medical and/or other benefits

Skills

Python · Statistical analysis · Numerical programming · Machine learning · Pandas · Numpy · R · MATLAB