2 дня назад
Software Engineer, Trading – Cumberland Systematic (C++/Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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