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Financial Services, High-Frequency Trading, Quantitative Trading, FinTech

PhD Winter Internship - 2027

New York, NYOnsiteInternshipJunior / Entry-levelPosted 1 month agoVisa sponsorship available

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Required skills

  • PhD student
  • technical discipline
  • quantitative discipline
  • math
  • physics
  • statistics
  • machine learning
  • Python
  • C++

Nice to have

  • quantitative trading
  • trading styles
  • independent research projects
  • compute cluster
  • social events
  • tech talks

Role summary

Hudson River Trading (HRT) is seeking qualified PhD candidates for its 3-week Winter Internship Program, designed for students with limited quantitative trading experience. Interns will learn about trading styles, work on research projects, train models on a compute cluster, and engage in social events. The program is in-person in New York City, starting January 4, 2027. Applicants must be full-time PhD students graduating between fall 2027 and summer 2029 in a technical or quantitative field, with demonstrated programming experience (Python/C++ preferred), exceptional problem-solving skills, and strong communication abilities. A weekly base salary of $5,800 is provided, along with housing and meals.

​​The application deadline for this position is November 6th, 2026

HRT is seeking qualified PhD candidates for our Winter Internship Program. Our PhD Winter Internship program is a 3 week introduction to quantitative research designed for graduate students with little or no experience in quantitative trading. 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
  • Train models on our state of the art compute cluster
  • Explore all that New York City has to offer through a variety of social events and tech talks
  • This program begins on January 4, 2027. 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 2027 and summer 2029 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.

    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.

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