Algorithm Development (Quant Research & Trading) Internship – Summer 2027

Skills this role screens for

About the role

Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. As an intern, you will have the opportunity to rotate between our high- and mid-frequency trading teams, as well as our machine learning teams. In close collaboration with full-time mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies.

Ideal candidates are quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field.

The process

What to Expect

• 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
• Work on impactful projects in close collaboration with experienced researchers, traders, and developers
• Utilize our world-class 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

Who they want

Qualifications

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD

Singapore: Weekly base salary of 7,650 SGD

London: Weekly base salary of 4,350 GBP

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.

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.

Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.

• You are a full-time undergraduate or master’s student in a quantitative discipline (math, physics, computer science, statistics, or a related program)
• Experience programming in Python is a must; C++ is desired for those interested in low-latency trading
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• A passion for applying quantitative models and technology toward solving real-world problems
• Strong communication skills