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Hudson River Trading (HRT) builds sophisticated computing environments and applies a scientific approach to trading financial products. The company serves global markets by leveraging data to power research, automated trading, and risk management. Within artificial intelligence and machine learning, HRT builds AI systems through its Applied AI team to increase the speed and quality of work across the firm's core workflows. This includes applying frontier models and agentic systems to quantitative research, software development, and infrastructure. Their technical scope spans AI infrastructure, research engineering, post-training, reinforcement learning, agent evaluation, security, alignment, and workflow deployment.

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About Hudson River Trading

Hudson River Trading (HRT) builds sophisticated computing environments and applies a scientific approach to trading financial products. The company serves global markets by leveraging data to power research, automated trading, and risk management. Within artificial intelligence and machine learning, HRT builds AI systems through its Applied AI team to increase the speed and quality of work across the firm's core workflows. This includes applying frontier models and agentic systems to quantitative research, software development, and infrastructure. Their technical scope spans AI infrastructure, research engineering, post-training, reinforcement learning, agent evaluation, security, alignment, and workflow deployment.

The open roles indicate that HRT is building teams across multiple technical domains, including Applied AI, Data Science, and Information Security. The available positions encompass internship programs for full-time students as well as senior-level individual contributor roles. Open positions are located across global financial and technology hubs, specifically New York, London, Singapore, and Mumbai. The roles cover engineering, cybersecurity, regulatory compliance, and quantitative data exploration.

HRT structures its recruitment process to evaluate candidates on their ability to turn ambiguous problems into working systems, operate across research and production engineering, and communicate clearly. The company advises applicants to apply to the single role they are most interested in while being considered across open positions. The available postings detail specific compensation for internship roles in select regions, alongside structured mentorship and technical project work.

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