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Trexquant Investment

Trexquant Investment

via Workable

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Quantitative Researcher - Experienced Hires (USA)

Anywhere
Full-time
Posted 1/7/2026
Direct Apply
Key Skills:
Python programming
Data analysis
Machine learning
Quantitative finance

Compensation

Salary Range

$130K - 200K a year

Responsibilities

Develop and optimize machine learning models for predicting liquid assets and systematically trading based on large datasets.

Requirements

A BS/MS/PhD in a STEM field, 2+ years in systematic trading, proficiency in Python, and strong problem-solving skills.

Full Description

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. As a Quantitative Researcher 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. While we are open to researchers in any asset class we are currently focusing on roles in equities, futures, commodities, and event driven research. Responsibilities Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals. Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading. Investigate and implement state-of-the-art academic research in the field of quantitative finance. Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability. Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis. BS/MS/PhD degree in any stem field 2+ years in a systematic trading environment Passion for machine learning Fluent with programming languages like Python Strong problem-solving skills Ability to work effectively both as an individual and a team player Competitive salary plus bonus based on individual and company performance Collaborative, Casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents Pre-tax commuter benefits Weekly company meals Applications are now open for our NYC office that’s opening in September 2026. The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background. Base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance based bonus. Trexquant is an Equal Opportunity Employer

This job posting was last updated on 1/9/2026

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