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Job Description

Hudson River Trading (HRT) is seeking an experienced C++ Developer to join their research cluster team in London. This individual will play a crucial role in maintaining and improving the technical solutions that make research as easy and efficient as possible. The developer will work closely with quantitative traders and software engineers across all trading teams.

Responsibilities:

  • Ensure HRT’s research environment is best in class, with a focus on user workloads.
  • Maintain and improve resource scheduling, data caching, and job monitoring.
  • Optimize workloads at the user level to speed up user iteration speed.
  • Tune workloads at the infrastructure level to make them more resource-efficient.
  • Share metrics and real-time information with users to give insight into workload behavior.
  • Collaborate with users to understand their specific technical needs.
  • Contribute individually and through leadership and coordination.
  • Set technical direction for the platform and take ownership of the software infrastructure.

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Strong C++ expertise (daily use preferred).
  • Python familiarity preferred.
  • Experience collaborating with quantitative researchers and traders.
  • Great communication capabilities.
  • Superior design, debugging, and problem-solving skills.
  • Knowledge of UNIX operating systems (Linux), system/processor performance, and network communication.

HRT offers:

  • Opportunity to work in a sophisticated computing environment for research and development.
  • A culture of openness, transparency, and collaboration.
  • A diverse and inclusive workplace.
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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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