Senior Quantitative Developer (Singapore)

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++; 


• In-depth experience in the development and trading of APAC market stock strategies.


• Experience in brokerage liaison, familiar with brokerage requirements and trading rules


• Experience in trading risk control, familiar with strategy risk and the formulation of monitoring rules


• 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

• Experience in developing and trading US stock strategies or other underlying assets such as options and ETFs


• 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.