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Design, deploy, and optimize low-latency networks for large-scale HPC environments, mentor team members, and collaborate on projects to enhance computing capacity.

The intern will develop automated trading strategies, work on quantitative research, and apply machine learning to market data, in collaboration with experienced teams.

The role involves designing, deploying, and scaling networks for large-scale HPC environments, focusing on high-performance LAN/WAN infrastructure to optimize compute capabilities at Hudson River Trading.

The Data Center Technician will manage data center operations, including installations, maintenance projects, and coordinating hardware logistics while ensuring uptime and performance.

As a Software Engineer, you will develop and maintain technology for trading, collaborate with engineers, and enhance algorithm performance in a fast-paced environment.

As a Software Engineering Intern, you will participate in hands-on projects, learn about algorithmic trading, and contribute to coding with Python, C or C++.

Algorithm Developers build and maintain trading models through statistical analysis of financial data, developing competitive predictive models and improving trading efficiency.

Join Hudson River Trading's Algorithm Development summer internship, applying research in quantitative trading strategies using programming and machine learning.

Interns will develop automated trading strategies, utilizing Python and C++ for quantitative research, collaborative projects, and participation in Tech Talks.

Algorithm Developers build and maintain trading models using statistical analysis of market data, collaborating to improve trading efficiency via novel methods.