Quantitative Developer

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.