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
Skills Required
- Proficient in Python
- Knowledge of financial accounting
- Passion for machine learning and quantitative finance
- Strong problem-solving skills
- Prior experience in quantitative research
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
