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13 mo agofound 5 d ago

Quantitative Researcher - Experienced Hires (USA)

Trexquant Investment·Stamford, Connecticut, United States·via workable
mid2+ yrsFull timemlpython
What the posting is about

Develop market-neutral signals using machine learning. Analyze large datasets to identify alpha signals. Collaborate with team to refine strategies. Requires 2+ years in systematic trading.

Read out of the posting
Levelmid
Experience asked2+ years
EmploymentFull time
LocationStamford, Connecticut, United States
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2025-08-29
Found viaworkable, direct from their system

We saw it 13 months after it went up.

The posting, as the company wrote it
Employment: Full-time Experience: Associate 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. Requirements 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 Benefits 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 open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, 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

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Also open at Trexquant Investment

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