Trexquant Investment LP
Quantitative Researcher - Early Career (USA)
Trexquant Investment LP, New York, New York, us, 10261
Overview
Quantitative Researcher - Early Career (USA). Trexquant Investment LP is a systematic hedge fund that uses thousands of statistical algorithms to trade equity, futures and other markets globally. We develop large sets of features from many data sets and use various machine learning methods to discover trading signals and form 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. Team structure
As a member of the Alpha Researcher, Data Scientist, or Strategy Researcher teams you will contribute to developing market-neutral signals, parsing and analyzing large data sets, and collaborating with related teams to build predictive models and trading strategies: Alpha Researcher
— develop market-neutral signals, parse and analyze large data sets, collaborate with the Data and Strategy Research teams to build predictive models. Data Scientist
— parse and analyze large data sets, discover and obtain new data sources, collaborate with Alpha and Strategy teams to build predictive machine learning models. Strategy Researcher
— develop systematic strategies based on machine learning and statistical methods; work with data from actual market trading. Your Responsibilities
Design, implement, and optimize machine learning models aimed at predicting liquid assets using a wide set of financial data and trading signals. Parse data sets to be used for future alpha (strategy) development. Investigate and implement state-of-the-art academic research in quantitative finance. Collaborate with experienced quantitative researchers to carry out experiments and test hypotheses using simulations. Requirements
BS/MS/PhD degree in any STEM field. Passion for machine learning. Fluent with programming languages like Python. Strong problem-solving skills. Ability to work effectively both as an individual and as part of a team. Knowledge of financial accounting is a plus. Background in quantitative finance is a plus but not necessary. 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 now open for our NYC office that’s opening in September 2026. The base salary range is $120,000 to $150,000, 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.
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Quantitative Researcher - Early Career (USA). Trexquant Investment LP is a systematic hedge fund that uses thousands of statistical algorithms to trade equity, futures and other markets globally. We develop large sets of features from many data sets and use various machine learning methods to discover trading signals and form 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. Team structure
As a member of the Alpha Researcher, Data Scientist, or Strategy Researcher teams you will contribute to developing market-neutral signals, parsing and analyzing large data sets, and collaborating with related teams to build predictive models and trading strategies: Alpha Researcher
— develop market-neutral signals, parse and analyze large data sets, collaborate with the Data and Strategy Research teams to build predictive models. Data Scientist
— parse and analyze large data sets, discover and obtain new data sources, collaborate with Alpha and Strategy teams to build predictive machine learning models. Strategy Researcher
— develop systematic strategies based on machine learning and statistical methods; work with data from actual market trading. Your Responsibilities
Design, implement, and optimize machine learning models aimed at predicting liquid assets using a wide set of financial data and trading signals. Parse data sets to be used for future alpha (strategy) development. Investigate and implement state-of-the-art academic research in quantitative finance. Collaborate with experienced quantitative researchers to carry out experiments and test hypotheses using simulations. Requirements
BS/MS/PhD degree in any STEM field. Passion for machine learning. Fluent with programming languages like Python. Strong problem-solving skills. Ability to work effectively both as an individual and as part of a team. Knowledge of financial accounting is a plus. Background in quantitative finance is a plus but not necessary. 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 now open for our NYC office that’s opening in September 2026. The base salary range is $120,000 to $150,000, 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.
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