Quantitative Researcher
Trexquant
Quantitative Researcher
Trexquant
Quantitative trading via ML models
Trexquant Investment · New York, United States (Hybrid) · Full-time · Posted 2026-07-01
Workplace: hybrid
Department: Quantitative Research and Machine Learning
Turn Research Into Real-World Impact.
At Trexquant, we believe exceptional research belongs in the real world.
We're a systematic hedge fund that applies cutting-edge machine learning, statistics, and large-scale data analysis to global financial markets. Every day, our researchers tackle complex, open-ended problems using massive datasets, novel algorithms, and scientific experimentation - with the opportunity to see their ideas deployed in live markets.
Whether your background is in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline, you'll find an environment where intellectual curiosity, rigorous research, and innovation are at the center of everything we do.
No prior finance experience is required- we're looking for exceptional researchers and problem solvers.
Responsibilities:
As a Quantitative Researcher, you'll help develop the next generation of machine learning models that identify predictive patterns in global financial markets.
Your work may include:
Find the Team That Fits Your Strengths
Rather than hiring into a single narrow role, we match researchers to the team where they can have the greatest impact.
Alpha Research
Discover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior.
Data Science
Identify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights.
Strategy Research
Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation.
Throughout the interview process, we'll learn about your research interests, technical strengths, and career goals to determine the team that's the best fit for you.
What Makes Trexquant Different
Applications are open for both Stamford and New York City offices.
The base salary for this role is $150,000 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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