
Quantitative Developer
4 days ago
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.
- 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.
- 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.
- Entry level
- Full-time
- Business Development
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