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What is it like to work at Hudson River Trading?

Hudson River Trading is a quantitative trading firm that values a collaborative and dynamic work environment, fostering a culture of innovation and continuous learning. The company's team structure is organized into various groups, including research, trading, and technology, with a flat organizational hierarchy that encourages open communication and knowledge sharing. Working at Hudson River Trading may appeal to candidates who are passionate about quantitative finance, enjoy solving complex problems, and are eager to contribute to a fast-paced and intellectually stimulating work environment.

What makes Hudson River Trading an attractive place to work?

Hudson River Trading is a prominent quantitative trading firm that operates at the intersection of finance and technology, leveraging advanced data analysis and machine learning to inform its investment decisions. The company's work environment is characterized by a culture of innovation, collaboration, and continuous learning, with opportunities for employees to work on complex problems and contribute to the development of cutting-edge trading strategies. Joining Hudson River Trading offers a chance to be part of a dynamic organization that values intellectual curiosity, technical expertise, and teamwork, providing a platform for professional growth and the potential to make a meaningful impact in the financial industry.
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Infographic showing various Algorithm Developer job openings at Hudson River Trading in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Algorithm Developer (Quant Researcher) - 2027 Grads

Algorithm Developer (Quant Researcher) - 2027 Grads

Hudson River Trading

New York, NY

Other

Posted yesterday

Job description

Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.

Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.

Qualifications

  • You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027
  • Experience programming in Python and/or C++
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • Brilliant analytical and problem-solving skills
  • Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year. The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

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