Wehrtyou
Algorithm Development (Quant Research & Trading) Internship – Summer 2027
London, United Kingdom · New York, NY, United States · Singapore
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hirly's read of this role
- Seniority
- Internship
- Countries
- GB, US, SG
- Work mode
- On-site / unstated
- First seen by hirly
- 13 Sept 2026
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the posting
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.
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
Qualifications
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
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.
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You can review our Global Applicant Privacy Notice , which explains how we process applicant information.
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