Quantitative Developer

Paragon Alpha - Hedge Fund Talent Business; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Paragon Alpha - Hedge Fund Talent Business is seeking an experienced C++ Quantitative Developer in Hong Kong. You will join a high-frequency trading team focused on liquid macro futures, building and optimising the trading infrastructure that supports systematic strategies.

The role involves ownership of components from data processing to order execution, with a frontline view into production trading systems and low-latency design.

Qualifications

• 3+ years of professional C++ development experience in quantitative trading or related domains.
• Strong knowledge of memory management, multithreading and performance optimisation.
• Experience with low-latency, high-throughput or performance-critical applications.
• Solid understanding of Linux systems and architecture.
• Experience with trading infrastructure, data feeds, or order management systems.

Responsibilities

• Design, develop and optimise high-performance C++ trading systems for HFT strategies across liquid macro futures markets.
• Collaborate with Portfolio Manager and Researchers to translate ideas into production systems.
• Build low-latency market data processing, order management and execution infrastructure.
• Develop efficient, scalable components for real-time signal processing and automated trading.
• Profile and optimise latency-sensitive code focusing on CPU efficiency and concurrency.
• Improve reliability, monitoring and operational resilience of trading systems.
• Own development across architecture, implementation, deployment and production support.

Skills

C++

HFT

Linux

Multithreading

Job description

We are working with a leading global multi-strategy hedge fund that is looking to hire an experienced C++ Quantitative Developer to join a Portfolio Manager's high-frequency trading team, focused on liquid macro futures markets.

This is a front-office opportunity working directly alongside the Portfolio Manager and Quantitative Researchers, building and optimising the trading infrastructure that supports systematic, high-frequency strategies.

The team operates in a performance-critical environment where execution speed, system reliability and efficient architecture directly impact trading performance.

The successful candidate will take ownership of key components across the trading stack, from market data processing and signal integration through to order execution and live trading infrastructure.

Key Responsibilities

• Design, develop and optimise high-performance C++ trading systems supporting HFT strategies across global macro futures markets.
• Work directly with the Portfolio Manager and Quantitative Researchers to translate trading ideas into robust production systems.
• Build and enhance low-latency market data processing, order management and execution infrastructure.
• Develop efficient, scalable components for real-time signal processing and automated trading.
• Profile and optimise latency-sensitive code, focusing on CPU efficiency, memory management, concurrency and system performance.
• Improve trading system reliability, monitoring and operational resilience.
• Collaborate on the design and implementation of new trading infrastructure as the team expands its strategies and market coverage.
• Take ownership of development across the full lifecycle, from architecture and implementation through to deployment and production support.

Requirements

• 3+ years of professional C++ development experience, ideally within quantitative trading, HFT, proprietary trading or systematic investment management.
• Excellent modern C++ skills, with a strong understanding of memory management, multithreading, concurrency and performance optimisation.
• Experience developing low-latency, high-throughput or performance-critical applications.
• Strong knowledge of Linux environments and systems-level programming.
• Experience working with trading infrastructure, market data systems, execution platforms or order management systems.
• Solid understanding of algorithms, data structures and software architecture.