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Algorithm Development (Quant Research) Internship - Summer 2026

Min Experience

0 years

Location

Singapore

JobType

internship

About the job

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About the role

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. As an intern, you will have the opportunity to rotate between our high-frequency trading, multi-frequency trading, and/or machine learning teams. In close collaboration with your mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies. We are looking for quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field. What to Expect - Leverage our 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 - Use our world-class compute cluster to run simulations and crunch 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 - Enjoy a curriculum of speakers, trading demos, and social events

About the company

Hudson River Trading is a multi-asset class quantitative trading firm that provides liquidity on global markets and directly to our clients. We have built one of the world's most advanced computing environments for research and development, modeling, and risk management, and are at the forefront of technical innovation for financial markets everywhere. We are thoughtful market leaders, committed to the health and longevity of global markets.

Skills

python
c++
machine learning
time series
quantitative modeling
data analysis