Algorithm Development (Quant Research) Internship – Summer 2027

About the role

Hudson River Trading offers a summer internship for quantitative students to develop and research automated trading algorithms. Interns rotate through trading and machine learning teams, applying quantitative models and programming skills to financial markets.

Role and Responsibilities

• Research and implement automated trading strategies using quantitative models.
• Rotate between high-frequency, mid-frequency, and machine learning teams.
• Collaborate with mentors to apply quantitative modeling and software development.
• Use proprietary Python/C++ infrastructure and third-party tools for data analysis.
• Build predictive models using market and non-market data.
• Participate in tech talks, trading games, mentorships, and social events.

Candidate Qualifications

• Full-time undergraduate or master's student in math, physics, computer science, statistics, or related field.
• Proficient in Python programming; C++ experience preferred for low-latency trading.
• Experience with statistical analysis, numerical programming, or machine learning.
• Familiarity with Python libraries like Pandas/Numpy, R, or MATLAB.
• Strong communication skills.
• Passion for applying quantitative models to real-world problems.

Compensation and Benefits

• Weekly base salary: $5,800 in New York, SGD 7,650 in Singapore.
• Competitive signing bonus and company-paid housing and meals.
• Access to world-class computing resources for research and simulations.
• Opportunity to work with experienced researchers, traders, and developers.