Low-Latency Quantitative C++ Engineer

Empower Partners Singapore; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Empower Partners Singapore is seeking a Quantitative Developer to build and optimise its low-latency trading and research infrastructure. You will work closely with quantitative researchers to turn research ideas into robust, production-ready trading strategies.

In this fast-paced environment, you will design and implement high-performance components, analyse bottlenecks, and contribute to a scalable, reliable live trading stack. Strong C++ skills and hands-on experience are essential.

Qualifications

• Bachelor's or Master's in CS, Math, Physics or related quantitative field.
• Strong C++ programming skills with 3+ years building trading/high-performance systems.
• Experience with low-latency systems, strategy frameworks or quantitative research infra.
• Excellent problem-solving and ability to design/implement complex modules independently.
• Ability to collaborate with researchers and engineers to translate research into production systems.
• Ownership mentality, strong teamwork and adaptability to fast-paced trading.

Responsibilities

• Develop and maintain a low-latency strategy framework, including modules, feature engines and research tools.
• Collaborate with researchers to implement, test and optimize trading strategies.
• Analyze bottlenecks and optimize performance, latency and reliability in live trading environments.
• Build an automated trading stack supporting deployment, real-time health monitoring and execution.
• Independently design and implement complex components with focus on performance and maintainability.

Skills

C++

Low-latency systems

High-performance

Education

Bachelor's or Master's in CS/Math/Physics

Job description

Empower Partners Singapore is seeking a Quantitative Developer to build and optimise its low-latency trading and research infrastructure. You will work closely with quantitative researchers to turn research ideas into robust, production-ready trading strategies.

In this fast-paced environment, you will design and implement high-performance components, analyse bottlenecks, and contribute to a scalable, reliable live trading stack. Strong C++ skills and hands-on experience are essential.