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2 дня назад

Software Engineer, Trading – Cumberland Systematic (C++/Python)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Software Engineer, Trading – Cumberland Systematic (C++/Python): Building and maintaining high-availability software for a global systematic trading operation with an accent on trading systems, market data connectivity, execution algorithms, and research infrastructure. Focus on designing low-latency distributed systems, solving concurrency and networking challenges, and integrating C++ and Python components with quantitative research workflows.

Location: London, United Kingdom

Company

hirify.global is a diversified trading firm using proprietary capital and technology to operate across global financial markets, with additional activities in real estate, venture capital, and cryptoassets.

What you will do

  • Design, develop, test, document, and maintain software for research, trading, and post-trade analysis.
  • Build market data handling, feature and signal computation, portfolio optimization, and execution management systems.
  • Develop high-availability trading systems, research infrastructure, monitoring and observability tooling, and integrations with core services.
  • Work primarily with C++ and Python across unit, functional, and integration testing.
  • Collaborate directly with quantitative researchers, traders, and software engineers.
  • Provide on-call support as needed.

Requirements

  • 5+ years of professional C++ experience.
  • Experience building complex, mission-critical modern C++ systems that are maintainable and safely refactorable.
  • Deep understanding of concurrency in C++ and Python, type safety, and type systems.
  • Experience developing high-availability distributed systems with tight latency constraints.
  • Understanding of computer networking, related technologies, and their tradeoffs.
  • Practical knowledge of fundamental statistics and numerical methods, plus experience writing software for the trading domain.

Nice to have

  • Experience collaborating with quantitative researchers.
  • Knowledge of high-level machine learning concepts and lifecycle.
  • Experience with functional programming, immutable design principles, Cython, and integrating C++ and Python stacks.

Culture & Benefits

  • Work in a global multi-asset trading operation with teams primarily located in Chicago and London.
  • Operate with significant autonomy and take ownership of projects from high-level requirements through completion.
  • Collaborate closely with researchers, traders, and engineers in a high-expectations environment focused on integrity, innovation, and continuous learning.

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