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Hudson River Trading

Algorithm Development (Quant Research) PhD Internship – Summer 2026

On site

London, United kingdom

Internship

29-10-2025

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Skills

Communication Python Matlab Data Analysis Statistical Analysis Research Machine Learning Programming Organization Numpy Pandas C++ Mathematics

Job Specifications

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies.

Trading in 200+ markets around the world in a variety of time horizons ensures there are always innovative self-guided paths to explore — with opportunities to make a big impact. Through this internship you’ll have the opportunity to rotate across teams, learning and collaborating alongside researchers and technologists that apply their passion and expertise to solving the most nuanced problems in our industry.

What To Expect

Use advanced research experience and expertise to apply academic research to impactful real world problems in trading across time horizons and machine learning strategies
Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
Use our industry-leading compute cluster to run simulations and crunch data
Build predictive models for financial markets using a combination of market and non-market data
Attend and participate in Tech Talks that provide an overview of markets and HRT’s trading philosophy
Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Qualifications

You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.) with a planned graduation timeline of 2027 or 2028
Fluency in Python is a must
Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
You’re excited to apply your research expertise to identify new opportunities in worldwide markets
Strong communication skills

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

About the Company

At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading. HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming ... Know more