Trexquant is a quantitative investment fund founded in 2014 where we trade a multi billion dollar portfolio of equities and other liquid assets in markets around the globe. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are run by an experienced management team with former roles at some of the top hedge funds in the industry and we are always looking for people who are passionate about problem solving using quantitative tools.

Responsibilities:

• Explore and learn about a wide range of datasets that are used to develop signals for systematic quantitative strategies
• Investigate and implement state-of-the-art academic research in the field of machine learning and quantitative finance
• Design features from novel data sets to improve the prediction power of the existing models
• Apply machine learning techniques to alpha discovery and portfolio construction

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, participate in decision-making process for research direction, and have opportunity to lead on new ideas
• Mentoring and guidance from experienced quantitative researchers
• Access to proprietary technology platforms for exploring and converting ideas into signals that can be traded in the real world
• Opportunity to convert this to a full time role

Trexquant is an Equal Opportunity Employer