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INTERNSHIP DETAILS

Explore HRT - NYC

CompanyHudson River Trading

LocationNew York

Work ModeOn Site

PostedFebruary 17, 2026

Internship Information

Core Responsibilities

Participants will learn about the quantitative finance industry, HRT’s technical roles, and operational methods through tech talks and hands-on work with software engineering and algorithm development teams. The program also includes 1:1 sessions with technical team members and social events to explore the New York headquarters and culture.

Internship Type

full time

Company Size

1229

Visa Sponsorship

Language

English

Working Hours

40 hours

Apply Now →

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About The Company

At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading. HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming skills and sharp quantitative minds, the founders hypothesized that by applying a fresh take to trading stocks, one that truly leverages the power of technology, they could meaningfully impact a world still dominated by manual operators. Very quickly, their algorithms saw success in the markets and HRT grew from their origins in US equities to a global, multi-asset class trading firm. Today HRT employs over 800 brilliant minds from a variety of disciplines—from highly technical to deeply mathematical to the liberal arts. We are critical thinkers and eager automators, chasing new solutions to any problem we encounter. We trade on nearly all of the world’s electronic markets, and are a leading voice for fair and open markets. Our internal code of ethics far exceeds the expectations of the regulatory environment in which we operate. We are conscientious market participants advocating for fair and transparent markets for everyone. This philosophy influences every aspect of our research. Please be aware that HRT emails will always come from the @hudson-trading.com domain; a genuine offer document will not be signed by a recruiter; and HRT will never request your personal banking information or payment of any kind during the recruitment process. If you have received what you suspect is a fraudulent offer or suspicious communication with HRT, or if you have any questions, please reach out to security@hudson-trading.com.

About the Role

Explore HRT is a three-day program where we invite promising 2028 graduates pursuing a degree in computer science, mathematics, or other STEM-related fields to HRT’s New York City office to learn about the quantitative finance industry. Students will have a unique opportunity to learn about HRT’s technical roles, discover how we operate, and ask questions about what it’s like to work at one of the world’s top quantitative trading firms. Participation in this program may result in fast-tracked consideration for future internship opportunities!

Program Details

Dates: Wednesday, April 29th - Friday, May 1st
Location: HRT NYC Office
Travel and Lodging: Travel and hotel accommodations will be provided. Participants should plan to arrive on April 28th and depart on May 2nd.

What to Expect

This program includes tech talks by HRTers, hands-on work with our software engineering and/or algorithm development teams, 1:1 sessions with technical team members, and social events to showcase our New York headquarters and culture.

Eligibility Requirements

Full-time undergraduate students graduating between winter 2027 and fall 2028
Pursuing a bachelor's or master's degree in Math, CS, Stats, Physics, or a related field
A strong interest in technology and a passion for learning and solving complex problems
High proficiency in C++ or Python
Interested in full-time employment opportunities in New York City

Application Details

The application process will include an online assessment and a 60-minute technical interview.
Timeline:
- February 17th - Application opens
- March 11th - Application closes
- March 13th - Online assessment due
- Week of March 16th - Technical interviews conducted
- March 23rd - Offers extended

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 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 during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

Key Skills

C++PythonComputer ScienceMathematicsStatisticsPhysicsAlgorithm DevelopmentSoftware Engineering