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Design and optimize machine learning models to predict liquid financial assets using diverse data sets. Collaborate with research teams to develop market-neutral signals and systematic trading strategies.
Requires a BS or MS degree in a STEM field and proficiency in Python. Candidates should have a passion for machine learning and strong problem-solving abilities.
Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets.
Our Quantitative Researchers are embedded within the following teams:
Alpha Researcher:
As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models.
Data Scientist:
As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models.
Strategy Researcher:
As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading
When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher. During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best research team that closely aligns with your skills and preference.
Your Responsibilities:
Applications are open for both Stamford and New York City offices, the latter with a planned opening in September 2026.
The base salary for this role is $120,000 to $180,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer
Human Insight Machine Intelligence
Trexquant is a leading quantitative finance firm specializing in the development of multi-asset portfolios through advanced machine learning methods. The firm continuously enhances its investment and research platform, utilizing a vast array of data variables to create complex trading models and strategies. These models generate trading signals aimed at outperforming market conditions globally.
Offices: 300 First Stamford Place, Fourth Floor East, Stamford, Connecticut 06902, US · Building No. 9A, Level 15, Tower A, Cyber Hub, GURUGRAM, Haryana 122002, IN · Vantone Center, No.333 Suhong Road, Minhang Dist., Shanghai, China, shanghai, CN · Merchants Tower, 118 Jianguo Road, Chaoyang District, Beijing, Beijing, CN
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