Quantitative Researcher - Early Career

About Trexquant Investment

Trexquant Investment is a systematic hedge fund leveraging thousands of statistical algorithms to trade global equity, futures, and other markets. We develop large sets of features from diverse data sets and employ various machine learning methods to discover trading signals and construct market-neutral portfolios. We seek talented individuals to contribute to the next generation of machine learning strategies for predicting financial asset movements.

The Role: Quantitative Researcher - Early Career

As a Quantitative Researcher - Early Career at Trexquant Investment, you will contribute to the development of cutting-edge machine learning strategies. You will be placed into one of our specialized teams—Alpha Researcher, Data Scientist, or Strategy Researcher—based on your strengths and preferences identified during the interview process.

Alpha Researcher Team

• Developing market-neutral signals.
• Parsing and analyzing large data sets.
• Collaborating with the Data and Strategy Research team to build diverse predictive models.

Data Scientist Team

• Parsing and analyzing large data sets.
• Discovering and obtaining new sources of data.
• Collaborating with the Alpha and Strategy team to build predictive machine learning models.

Strategy Researcher Team

• Developing systematic strategies using a variety of machine learning and statistical methods.
• Working with data trained and validated from actual market trading.

Your Responsibilities as a Quantitative Researcher - Early Career

• Design, implement, and optimize various machine learning models for predicting liquid assets using extensive financial data and a vast library of trading signals.
• Parse data sets essential for future alpha (strategy) development.
• Investigate and implement state-of-the-art academic research in quantitative finance.
• Collaborate with experienced quantitative researchers to conduct experiments and test hypotheses through simulations.

Requirements

• BS/MS/PhD degree in any STEM field.
• Passion for machine learning.
• Fluency in programming languages, particularly Python.
• Strong problem-solving skills.
• Ability to excel both independently and as a team player.
• Knowledge of financial accounting is a plus.
• Background in quantitative finance is a plus, but not strictly necessary.

Benefits

• Competitive salary plus performance-based bonus.
• 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.

Location & Compensation

Applications are welcomed for both our Stamford and New York City offices, with the NYC office slated to open in October 2026. The base salary for this role ranges from $120,000 to $150,000, determined by educational background and professional experience. This is one component of Trexquant Investment’s comprehensive total compensation package, which may also include a discretionary, performance-based bonus.

Key skills/competency

• Machine Learning
• Quantitative Finance
• Python Programming
• Statistical Algorithms
• Data Analysis
• Predictive Modeling
• Financial Data
• Problem Solving
• Hypothesis Testing
• Signal Generation