Data Scientist Intern - 2027

Hudson River Trading (HRT) is seeking highly motivated full-time students to join our Data Science Summer Internship Program. Data is a cornerstone of HRT’s trading strategies, serving as the raw fuel that powers research, automated trading, and risk management. While Algorithm Developers focus on statistical modeling and Software Engineers focus on the systems that power our trading, HRT Data Scientists focus on extracting useful information from the vast volume of data available in the world. Data Scientists are responsible for normalizing and validating vendor data, extracting features from quantitative and textual data, applying rigorous quality checks, and investigating methodologies for providing the highest quality data for research and trading.

What to Expect

• A hands-on introduction to data, modeling, and engineering practices in the algorithmic trading industry
• Independent data investigation projects in Python using open-source libraries such as pandas and polars
• 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 student pursuing a degree in a STEM field — a computer science background is not required
• Programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney
• A curiosity for working with data and finding insights
• Independent data projects, kaggle competitions, and such are a plus
• Exceptional attention to detail
• Strong communication skills

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 USDLondon: 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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