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Quantitative Researcher - Experienced Hires (USA)

Trexquant Investment

New York, NYJob$130–200K/yrPosted 7mo agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$130–200K/yr
Location
New York, NY
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Trexquant Investment is hiring a Quantitative Researcher - Experienced Hires (USA). Trexquant is a systematic hedge fund that uses statistical algorithms to trade global equity, futures, and other markets. The firm develops machine learning methods to discover trading signals and combine them into market-neutral portfolios. This role involves developing market-neutral signals, analyzing large datasets, and collaborating with the Data and Strategy Research team to build predictive models.

Key focus areas include Design, implement, and optimize various machine learning models aimed at predicting liquid assets., Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading., and Investigate and implement state-of-the-art academic research in the field of quantitative finance..

Successful candidates bring BS/MS/PhD STEM Degree and 2+ Years Systematic Trading. Important skills include Machine Learning, Python, Problem-Solving Skills, and Team Player.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningPythonProblem-Solving SkillsTeam Player

Qualifications

BS/MS/PhD Degree in Any Stem Field2+ Years in a Systematic Trading Environment

Benefits

Medical Insurance
Dental Insurance
Vision Insurance

Full job 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.

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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