Overview
Explore HRT invites promising Year 2 undergraduate students pursuing a degree in computer science, mathematics, or other STEM-related fields to HRT’s Singapore 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: Thursday, May 15 – Friday, May 16
- Location: HRT Singapore Office
- Travel and Accommodations: Travel and hotel will be provided. Participants traveling internationally should plan to arrive on May 14th and depart on May 17th.
What to Expect
This is a two-day program that includes tech talks by HRTers on software engineering (C++) and algorithm development (quantitative research), 1:1 sessions with technical team members, informational presentations, an office tour, and a special dinner to cap it off!
Eligibility Requirements
- Full-time undergraduate students graduating between December 2026 and August 2027
- Pursuing a bachelor's degree in Math, CS, Stats, Physics, or related field
- A strong interest in technology and a passion for learning and solving problems
- High proficiency in C++ or Python
- Interested in full-time employment opportunities in Singapore
Application Details
- This application includes a resume submission and two optional short response questions (less than 200 words each)
- The interview process will include an online assessment and one 60 minute technical interview.
- Timeline:
- March 26th - Application opens
- April 18th - Application closes
- April 20th - Online assessment due
- Week of April 21st - Technical interviews are conducted
- April 28th - 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.
Top Skills
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.
Gallery
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.
