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Job Description
Hudson River Trading is seeking an Algorithm Developer to build and maintain the models that drive its trading. The Algorithm Developer will apply rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. They 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. The Algorithm Developer will also be responsible for running models live on HRT's high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.
  • Applying rigorous statistical analysis to market and financial data
  • Researching, developing, and testing novel order execution and model training methods
  • Running models live on HRT's high-performance trading infrastructure
  • Analyzing daily performance to maintain ongoing profitability
Requirements:
  • Full-time undergraduate or masters student in a quantitative discipline
  • Eligible for full-time roles in 2025
  • Experience programming in Python and/or C++
  • Experience with statistical analysis, numerical programming, or machine learning
  • 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
HRT offers:
  • A scientific approach to trading financial products
  • A sophisticated computing environments for research and development
  • A culture of openness and transparency
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Hudson River Trading

Hudson River Trading (HRT) is a global algorithmic trading firm that applies a scientific approach to trading financial products. The company has built a sophisticated computing environment for research and development, fostering innovation in algorithmic trading. HRT utilizes cutting-edge automation across its organization, and values collaboration, transparency, and diverse expertise. They operate large-scale distributed compute clusters and petabyte-scale storage layers, with a focus on state-of-the-art hardware and operating systems. The company has worldwide operations.

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