PhD Winter Internship - 2026

Reposted 25 Days Ago
Be an Early Applicant
New York, NY
In-Office
6K-6K
Internship
Artificial Intelligence • Fintech • Other • Automation
We are mathematicians, computer scientists, statisticians, physicists and engineers.
The Role
The PhD Winter Internship offers graduate students exposure to quantitative research in finance, independent projects, and professional development over two weeks.
Summary Generated by Built In

The application deadline for this position is Nov 14, 2025

HRT is seeking qualified PhD candidates for our Winter Internship Program. Our PhD Winter Internship program is a 3 week introduction to quantitative research for graduate students who are curious but unfamiliar with the quantitative finance industry. Over the course of the program, you will:

  • Learn about a wide range of trading styles from leading experts in the field
  • Work on independent research projects, representative of real work at HRT
  • Have access to tech talks, seminars, and a variety of social events that explore all that New York City has to offer

This program begins on January 5, 2026. This is an in-person program and will take place in our New York City office.

Requirements

  • You are a full-time PhD student graduating between fall 2026 and summer 2028 in a technical or quantitative discipline (math, physics, computer science, statistics, machine learning, or a related program) 
  • Demonstrated experience in programming; familiarity with Python and/or C++ is preferred
  • A passion for technology and excitement for learning something new
  • Exceptional problem solving skills
  • Strong communication skills

This program is specifically offered for individuals without extensive experience in the quantitative trading industry. 

Weekly base salary of $5,800 in addition to company-paid housing, meals, and other perks.

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.

Top Skills

Python,C++
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The Company
HQ: New York, NY
0 Employees
Year Founded: 2002

What We Do

Hudson River Trading 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.

Why Work With Us

At HRT we are mathematicians, computer scientists, statisticians, physicists and engineers. We believe that by cultivating an environment that encourages idea sharing and collaboration, we develop our best strategies. We boast a flat management structure as all our people are motivated by being at the forefront of the automated trading world.

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Hudson River Trading Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Teams have a range of in-office needs: some require 24/7 coverage or hands-on maintenance, while others operate across time zones. While the majority of teams adopt a fairly even split between in-office and remote work, many come in every day.

Typical time on-site: Not Specified
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