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Domeyard

Executes high-frequency trading via quantitative models

Algorithmic Trading Developer

Backend EngineeringUpdated on Nov 15
Full-timeBoston, MA, USANo salary listedIn-person

About the Job

Requirements

  • Proficiency with C and C++ in a UNIX environment.
  • Experience with low-level optimization, including memory hierarchy, instruction set architectures, lock-free algorithms, bus overheads, and profiling, and with multi-core parallelism.
  • Knowledge of operating system internals, including the network stack, timers, scheduling, interrupt handling, virtual memory, and file systems, and knowledge of kernel source.

Responsibilities

  • Implement software for low-latency trading.
  • Design message-oriented middleware and internal APIs for publish-subscribe platforms and databases.
  • Integrate external protocols and APIs with the firm's infrastructure.
  • Identify and manage performance bottlenecks.
  • Develop tools, such as numerical libraries and graphical user interfaces, to improve research productivity.

Desired Qualifications

  • A background in computer science, physics, mathematics, or a related engineering discipline.
  • An elegant coding style and good taste in API design.

About the Company

Domeyard

Executes high-frequency trading via quantitative models

Domeyard is a hedge fund that uses quantitative research and advanced technology to run high-frequency trading strategies for institutional clients such as banks and pension funds. It analyzes vast streams of real-time market data with sophisticated trading algorithms and machine learning models to identify tiny, short-lived price inefficiencies and execute a very large number of trades at ultra-fast speeds. The company differentiates itself through a close collaboration between its research and engineering teams and a startup-style culture that emphasizes rapid iteration, enabling ideas to be quickly turned into trading strategies. Domeyard’s goal is to generate steady, fees-based profits for its clients by capturing small gains across billions of trades each day, supported by substantial technology investment in low-latency systems and data analytics.

Company size
1-10
Company stage
Series B
Total funding
$10M
Headquarters
Boston, MA
Founded
2012

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