Quantitative Developer(Singapore)

Metabit; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading quantitative firm in Singapore is looking for a skilled individual to participate in the full lifecycle of quantitative strategy implementation. The ideal candidate should have a strong background in STEM, proficient in C++ and Python, and excellent communication skills in Chinese and English. This role offers the opportunity to develop and maintain live trading processes, contributing directly to both research and trading performance.

Qualifications

• Proficient in Linux environments with strong programming skills.
• Solid foundation in mathematics, especially in probability and statistics.
• Strong communication skills in both Chinese and English.

Responsibilities

• Participate in the full lifecycle of quantitative strategy implementation.
• Develop strategy research tools on an in-house backtesting platform.
• Take ownership of the development of live trading processes.

Skills

C++

Python

Linux

Probability

Statistics

Communication skills

Education

Bachelor or Master degree in Computer Science, Software Engineering, Mathematics, Physics, Statistics

Job description

Responsibilities

• Participate in the full lifecycle of quantitative strategy implementation, including research, code optimization and deployment, order execution, policy compliance, and risk control.
• Work closely with the research team to design and develop strategy research tools on our in-house backtesting platform, tailored to their use cases.
• Take ownership of the development and maintenance of live trading processes, continuously improving the production quality and reliability of strategies through robust technical solutions.
• If you are interested in RL/Optimization-related infrastructure, you’ll have the opportunity to contribute to relevant research tool development.
• Collaborate with the engineering team to shape and implement core components of our distributed systems, data platforms, and trading infrastructure—your contributions will directly impact both research and live trading performance.

Basic Qualifications

• Bachelor, Master degree from world top university, majoring in Computer Science, Software Engineering, Mathematics, Physics, Statistics, or other related STEM fields.
• Proficient in Linux environments, with strong programming skills in both C++ and Python; comfortable with scientific computing libraries and familiar with common data structures and algorithms.
• Solid foundation in mathematics, especially in probability and statistics.
• Strong communication skills and logical reasoning abilities.
• Comfortable working and communicating in Chinese and English.

Preferred Qualifications

• Outstanding performance in competitive programming contests such as NOI or ICPC.
• Publications in top-tier CS or Statistics journals/conferences.
• Award-winning participant in Kaggle machine learning competitions.
• Internship or work experience in proprietary trading firms, hedge funds, or leading tech companies.