Description

Senior C++ Engineer - High Frequency Trading (Leading Hedge Fund)

Company Overview:

Our client is a leading global multi-strategy hedge fund with a strong presence across systematic and high-frequency trading. The firm is highly technology-driven, with engineering at the core of its investment process, building sophisticated low-latency platforms to compete in the most time-sensitive markets globally.

Operating in a collaborative, high-performance environment, technology teams work closely with traders and quantitative researchers to design, build, and optimise mission-critical trading infrastructure.

Role Overview:

This is a Senior C++ engineering position focused on developing and scaling low-latency trading and market data systems. You will work on core infrastructure supporting execution, real-time data processing, and research platforms, while partnering directly with quantitative teams and influencing system architecture across the APAC region.

Key Responsibilities:

• Design and build low-latency trading systems across order entry, execution, and market data pipelines
• Develop core infrastructure including exchange simulators, research tooling, and strategy containers
• Enhance platform capabilities to support systematic trading and quantitative research workflows
• Collaborate closely with quants, traders, and architects to deliver high-impact solutions
• Optimise system performance across latency, throughput, and reliability
• Provide technical leadership on system design, architecture, and engineering standards
• Support production environments, including real-time troubleshooting of latency-critical systems
• Partner with global teams on cross-platform and cross-strategy initiatives

Key Requirements:

• 5+ years of experience building low-latency, production-grade systems within a trading or similarly performance-critical environment
• Strong proficiency in C++ (modern standards) and solid experience with Python
• Deep understanding of Linux internals, networking, and systems programming
• Strong knowledge of CPU architecture (caching, NUMA, branch prediction) and performance optimisation
• Experience with low-latency networking (TCP/UDP, multicast; kernel bypass technologies are advantageous)
• Familiarity with trading systems, systematic strategies, or the quantitative research lifecycle
• Experience with distributed systems or high-performance compute environments
• Strong debugging and problem-solving skills in live production environments
• Proven ability to collaborate across teams and influence technical direction

If this opportunity sounds of interest, please apply with an updated CV and we will be in touch to discuss further!