Software Engineering Internship (C++ or Python) – Summer 2027

Hudson River Trading (HRT) is seeking highly motivated full-time students to join our Software Engineering Summer Internship Program. HRT brings together the sharpest minds across quantitative disciplines—math, computer science, physics, engineering, and more— within our world-class computing environment to rapidly scale solutions to the toughest problems in tech and trading. Our software engineers create and maintain technology and infrastructure that is integral to the success of our trading. Ideal candidates are smart programmers who love to code, are eager to learn, and can thrive in an entrepreneurial environment.

What to Expect

A hands-on introduction to all technical facets of software engineering in the algorithmic trading industry

Independent programming projects in Python, C, or C++, depending on the needs of the projectStructured and hands-on trainings, with quick transition into real projects within the first week

Opportunities to learn all about HRT's research and trading infrastructure, even in areas you may not be working in directly

Technical project work and mentorship, with the opportunity to gain a deeper understanding of global financial markets

Plenty of opportunities to connect with fellow interns, participate in team events, and explore the unique culture, food, and experiences that make each HRT office location and cities special.

Qualifications

You are a full-time undergraduate student studying computer science or a related field

Programming experience in Python, C or C++ is required

A passion for technology and writing code that is elegant, readable, and efficient

Exceptional problem solving skills

Strong communication skills

Knowledge of trading and/or financial markets is not required for this position

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.

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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