Inside HRT

Sorry, this job was removed at 11:27 p.m. (CST) on Monday, Mar 31, 2025
New York, NY
Hybrid
Artificial Intelligence • Fintech • Other • Automation
We are mathematicians, computer scientists, statisticians, physicists and engineers.
The Role

The application deadline for this position is March 28, 2025.

Inside HRT invites promising undergraduate students pursuing a degree in computer science, mathematics, or another STEM-related field to HRT’s NYC headquarters to learn about HRT and the quantitative finance industry. Participants will have a unique opportunity to learn about HRT’s technical roles, explore real-world challenges through hands-on problem-solving, and engage directly with HRTers for an immersive and interactive learning experience.

While people of all identities are welcome to apply, this program is intended to create a space for Black and LatinX students to explore the quantitative finance industry.

Program Details

  • Dates: May 20–22, 2025
  • Location: HRT Headquarters, New York City, NY
  • Travel and Accommodations: Travel and hotel will be provided. Participants should plan to arrive on May 19th and depart on May 23rd.

The application for this program includes a resume submission and two short response questions (less than 200 words each). The interview process will include an online assessment and one 60 minute technical interview.

Requirements

  • Full-time undergraduate student graduating between December 2026 and August 2027
  • Pursuing a degree in a quantitative discipline (i.e. math, computer science, or another STEM-related field)
  • A strong interest in technology and a passion for learning and solving problems
  • Attending this summit does not require prior knowledge of finance, only an interest in learning! 
  • Basic programming skills and familiarity with Python or C++ are required

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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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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