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Job Description

Hudson River Trading is seeking a Senior Python Engineer to join its dynamic team in New York City. In this role, the candidate will be integral in developing and improving the firm's software, used across all departments, leveraging the newest technologies in Python and software engineering.

The Senior Python Engineer will collaborate with researchers and engineers to build high-impact products, help the company tackle exciting new initiatives, and streamline every part of the trade cycle.

Responsibilities:

  • Develop software that reaches every office and department.
  • Improve job orchestration and scheduling.
  • Build Python tooling and environments for developers.
  • Deploy, automate, and monitor systems for global trade and analysis.
  • Build systems for hardware verification and tooling.
  • Write software that supports data ETL pipelines.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • Deep Python experience with recent standards.
  • Advanced knowledge of the Python ecosystem and best practices.
  • Superior design, debugging, and problem-solving skills.
  • Knowledge of UNIX operating systems.
  • Experience deploying and maintaining applications.

What HRT Offers:

  • Opportunity to work in cutting-edge distributed compute environments.
  • Collaboration with researchers and engineers on high-impact products.
  • A culture of openness, transparency, and innovation.
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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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