3 дня назад
Software Developer (C++/Java/Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Developer (C++/Java/Python): Designing and deploying proprietary software for algorithmic trading, distributed computation, data processing, and real-time risk analysis with an accent on performance, low latency, and robust trading infrastructure. Focus on optimizing systems, developing multithreaded and networked applications, and balancing speed, features, and cost across the technology stack.
Location: London, United Kingdom
Company
is a diversified trading firm combining proprietary trading with sophisticated technology across global financial markets and alternative investment strategies.
What you will do
- Design, develop, test, and deploy proprietary software for algorithmic trading and market operations.
- Build trading strategy simulation software optimized for distributed computation.
- Develop large-scale data acquisition, storage, accessibility, and visualization systems.
- Create ultra-low-latency trading strategies, exchange protocol adapters, and automated trading systems.
- Develop real-time trade management and risk analysis platforms, along with interprocess communication mechanisms.
- Analyze and tune system performance while collaborating with technologists, quantitative researchers, and traders.
Requirements
- Graduation between December 2026 and August 2027 with a Bachelor's, Master's, or PhD in computer science, physics, mathematics, or a related engineering discipline.
- Excellent software development skills in modern C++, Java, or Python.
- Knowledge of network programming, including TCP/IP, multithreaded applications, computational intelligence, real-time programming, or GUI programming.
- Strong understanding of object-oriented design, data structures, and algorithms.
- Ability to think, communicate, and code clearly.
- Strong communication skills for presenting and advocating technical ideas.
Culture & Benefits
- Immediate responsibility supported by mentoring from experienced engineers.
- Robust training program and exposure to cutting-edge technology.
- Autonomy, curiosity, innovation, and willingness to challenge consensus are valued.
- Collaboration with experienced technologists, quantitative researchers, and traders.
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