# Algorithm Development (Quant Research & Trading) Internship – Summer 2027 [Hudson River Trading](https://www.jorb.ai/firms/hudson-river-trading.md) · Singapore · [Hedge Fund & Quant](https://www.jorb.ai/jobs/hedge-fund-quant.md) Hudson River Trading is hiring a Algorithm Development (Quant Research & Trading) Internship – Summer 2027 in Singapore. Posted 2026-07-18; applications close 2026-09-16. **Apply**: https://www.hudsonrivertrading.com/careers/job/?gh_jid=7964062 Posted 3d ago. ## Role details ## Algorithm Development Summer Internship Program Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. Interns rotate between our high- and mid-frequency trading teams, as well as our machine learning teams. In close collaboration with full-time mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies. Ideal candidates are quantitatively driven and practically minded programmers, scientists, and mathematicians who are excited to solve challenging problems in the field. ## What to Expect - Leverage proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis - Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets - Work on impactful projects in close collaboration with experienced researchers, traders, and developers - Utilize a compute cluster to run simulations and analyze data - Build predictive models for financial markets using a combination of market and non-market data - Attend and participate in Tech Talks that provide an overview of markets and HRT’s trading philosophy - Participate in a summer curriculum that includes speakers, trading games, mentorship, and social events ## Qualifications - Full-time undergraduate or master’s student in a quantitative discipline (math, physics, computer science, statistics, or a related program) - Programming experience in Python (required); C++ (desired for those interested in low-latency trading) - Experience with statistical analysis, numerical programming, or machine learning in Python (including Pandas/NumPy), R, and/or MATLAB - Passion for applying quantitative models and technology to solve real-world problems - Strong communication skills ## Compensation Weekly base salary plus a competitive signing bonus. Housing and meals are provided, along with other perks. - New York: Weekly base salary of 5,800 USD - Singapore: Weekly base salary of 7,650 SGD ## Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. The company has built one of the world’s most sophisticated computing environments for research and development, and its researchers are at the forefront of innovation in algorithmic trading. At HRT, you will work with people from a variety of disciplines, including mathematics and computer science, physics and engineering, and media and tech. The team is made up of self-starters motivated by the excitement of being at the cutting edge of automation across the organization—from trading to business operations to recruiting and beyond. HRT values openness and transparency and celebrates great ideas from both veterans and new hires. HRT is proud of its diverse staff, with offices all over the globe, and believes in valuing unique perspectives. The organization is an equal opportunity employer. ## Applying to this role This Algorithm Development (Quant Research & Trading) Internship – Summer 2027 role at Hudson River Trading runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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