Algorithm Development (Quant Research & Trading) PhD Internship - Summer 2027

Hudson River Trading is recruiting for Algorithm Development (Quant Research & Trading) PhD Internship - Summer 2027 in London, United Kingdom; New York, NY, United States; Singapore. This listing was last seen on the firm's own job board on August 22, 2026.

An engineering firm that trades, where algorithm quality decides the outcome of every round.

What sets Hudson River Trading apart: Algorithms weighted above finance in every track. No trading experience expected or rewarded. Interviews are unusually transparent about what is being scored.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as Hudson River Trading describes it, published on July 13, 2026 and reproduced from their job board:

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

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.

We trade on more than 200 markets around the world, across a variety of time horizons – offering ample opportunities to explore innovative, self-guided research and make a big impact on our business. 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

Utilize 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