Quantitative Developer

Charterhouse Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading global quantitative firm is seeking a Quantitative Developer in Singapore to join its technology and trading engineering team. You will design, build, and maintain scalable trading and research systems using C++ and/or Python. The role requires collaboration with quantitative researchers to optimise systems and contribute to the full software development lifecycle. Ideal candidates should have a strong programming background and experience in quantitative or data-driven environments.

Qualifications

• Strong programming background in C++ and/or Python.
• Experience working in quantitative, trading, or data-driven environments.
• Solid understanding of algorithms, data structures, and system performance.

Responsibilities

• Design, build, and maintain scalable trading and research systems.
• Collaborate closely with quants to implement pricing models, signals, and trading strategies.
• Optimise system performance, latency, and reliability in a production trading environment.
• Contribute to the full software development lifecycle.

Skills

C++

Python

Algorithms

Data structures

System performance

Education

Degree in Computer Science, Mathematics, Engineering or similar

Job description

Overview

A leading global quantitative firm is seeking a Quantitative Developer to join its technology and trading engineering team. The role sits close to the front office, partnering with quantitative researchers and traders to build and optimise high-performance trading and research platforms.

Responsibilities

• Design, build, and maintain scalable trading and research systems using C++ and/or Python

• Collaborate closely with quants to implement pricing models, signals, and trading strategies

• Optimise system performance, latency, and reliability in a production trading environment

• Contribute to the full software development lifecycle across research, testing, and deployment

Qualifications

• Strong programming background in C++ and/or Python

• Experience working in quantitative, trading, or data-driven environments

• Solid understanding of algorithms, data structures, and system performance

• Ability to work effectively with quantitative researchers and front-office stakeholders

Desirable

• Exposure to electronic trading, market data, or low-latency systems

• Experience in financial markets or systematic trading environments

• Strong academic background in Computer Science, Mathematics, Engineering, or similar

Please reach out to Nigel Ma at [e-mail] for more information.

EA License no.: 16S8066 | Reg. No. R2091624

Only shortlisted applicants will be notified.