Trexquant is a quantitative investment fund that trades a multi billion dollar portfolio of equities and other liquid assets. We develop features and use machine learning methods to discover trading signals and combine them into market-neutral portfolios.
Requirements
- Target: the class of 2027 fresh graduates
- Passion for machine learning and quantitative finance
- Strong problem-solving skills and teamwork ability
- Proficient in Python; knowledge of financial accounting is a plus
- Prior experience in quantitative research preferred
- Available for full-time, on-site internship in Beijing from July to September 2026
- Good English communication skills
Benefits
- Work in a collaborative and friendly environment
- Mentoring and guidance from experienced quantitative researchers
- Access to proprietary technology platforms
- Opportunity to convert this to a full time role