Quantitative Developer

METABIT ASSET MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

METABIT ASSET MANAGEMENT PTE. LTD. in Singapore is seeking a quantitative software engineer to implement and optimize trading strategies, build research tools on an in-house backtesting platform, and maintain live trading processes.

You will collaborate with research and engineering to enhance distributed systems and data platforms, contributing to both research and live trading performance. The role requires strong CS/math background, proficiency in Python and C++ on Linux, and good

Qualifications

• Bachelor’s or Master’s degree in a STEM field (CS/SE/Math/Physics/Statistics)
• Proficient in Python and C++ on Linux, with scientific computing libraries
• Strong foundation in probability and statistics
• Strong communication and reasoning skills
• Bilingual in Chinese and English

Responsibilities

• Participate in quantitative strategy implementation, including research, code optimization and deployment, order execution, policy compliance, and risk control.
• Collaborate with research to design and develop strategy research tools on our in-house backtesting platform.
• Own development and maintenance of live trading processes, improving production quality and reliability.
• Opportunity to contribute to RL/Optimization-related infrastructure research tools.
• Work with engineering to shape core components of distributed systems, data platforms, and trading infrastructure.

Skills

Python

C++

Linux

Mathematics / Statistics

Communication

Chinese & English

Education

Bachelor’s or Master’s degree in CS/SE/Math/Physics/Statistics or related STEM fields

Tools

Backtesting platforms

Job description

Responsibilities

• Participate in the 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.

Qualifications

• Bachelor’s or Master’s degree from a top world university, majoring in Computer Science, Software Engineering, Mathematics, Physics, Statistics, or other related STEM fields.
• Proficient experience in Linux environments, with strong programming skills in Python and C++; 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.