Senior Quantitative Developer (C++)
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Responsibilities
- Design, build, and optimize greenfield, high-performance distributed trading systems in C++, with a strong focus on latency, scalability, and reliability
- Partner closely with quant researchers and trading teams to translate strategies into production systems and contribute to the overall architecture
- Your present skillset:
- 5+ years of experience in low-latency / high-performance C++ development
- Strong expertise in modern C++ (C++17/20/23) and systems programming
- Experience with multithreading, concurrency, and real-time systems
- Solid understanding of Linux systems and low-level performance optimization
Requirements
- Experience in electronic trading systems (market data, execution, or connectivity)
- Understanding of market microstructure
- Knowledge of networking (TCP/UDP) and system-level performance tuning
- Exposure to hardware acceleration (e.g. FPGA)
- Experience with Python for tooling or prototyping
Benefits
Additional Information
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT: We are hiring a Senior Low-Latency Software Engineer to join a newly formed team building a high-performance trading platform from scratch. This platform sits at the heart of QRT's execution capabilities and is designed for ultra-low-latency, high-frequency trading. You will work on systems where performance is critical, contributing directly to how strategies are executed in live markets. You will collaborate closely with quant researchers and traders to turn models into efficient, production-grade systems, while shaping the architecture and performance of the platform using modern C++ (C++23).
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