C++ Quantitative Developer - Proprietary Trading Firm

Empower Partners Singapore; Singapore; Sur place; SGD 150 000 - 230 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

C++

Low-latency systems

High-performance

Formation

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

Description du poste

Our client is an established quantitative proprietary trading firm expanding into traditional financial markets. Combining quantitative research with high-performance engineering, the firm offers the opportunity to build and optimise low-latency trading systems as its business grows.

The firm 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.

Job Responsibilities

• Develop and maintain a low-latency strategy framework, including strategy modules, feature engines and research tools.


• Collaborate with quantitative researchers to implement, test and optimise trading strategies.


• Analyse system bottlenecks and optimise performance, latency and reliability in live trading environments.


• Build an automated trading stack supporting efficient strategy deployment, real-time system health monitoring and reliable execution.


• Independently design and implement complex components, with a focus on performance, scalability and maintainability.

Work Experience and Requirements

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or a related quantitative discipline.


• Strong C++ programming skills and at least three years of experience designing and building trading systems or related high-performance applications.


• Experience developing low-latency systems, strategy frameworks or quantitative research infrastructure.


• Strong problem-solving skills and the ability to independently design and implement complex modules.


• The ability to collaborate closely with researchers and engineers to translate research requirements into production systems.


• A strong sense of ownership, excellent teamwork skills and adaptability to a fast-paced trading environment.