Quantitative Researcher
Trexquant
Quantitative Researcher
Trexquant
Quantitative trading via ML models
Trexquant Investment · New York, United States · Full-time · Posted 2026-07-21
Workplace: on_site
Department: Quantitative Research and Machine Learning
We are seeking a Quantitative Researcher to join our Execution team. In this role, you will be directly responsible for compiling and analyzing execution data in several asset classes, working on market impact models and trade cost analysis to minimize transaction costs and enhance performance of company portfolios. You will work closely with teams of traders, researchers, and operations to develop, test, and refine execution strategies that drive continuous improvement of our trading operations.
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 $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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Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.
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