Quantitative Researcher - PhD (USA)

Trexquant Investment; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive salary plus bonus

PPO Health, dental and vision insurance fully covered

Weekly company meals

Pre-tax commuter benefits

Job summary

Trexquant Investment is seeking a Quantitative Researcher in New York, NY to develop cutting-edge machine learning models for predictive market analysis. Candidates should hold a PhD in a STEM field with strong programming skills in Python.

The position offers a competitive salary between $150,000 to $200,000, dependent on experience, along with bonuses and comprehensive health benefits. Trexquant fosters intellectual curiosity and innovation in a collaborative environment.

Qualifications

• PhD in a relevant STEM field.
• Strong interest in machine learning, statistics, or AI.
• Excellent programming skills in Python.

Responsibilities

• Develop next generation of machine learning models for market predictions.
• Implement state-of-the-art models for large-scale prediction problems.
• Work with structured and alternative datasets to uncover signals.
• Collaborate with experienced researchers to transform research into strategies.

Skills

Machine learning

Statistics

Python programming

Analytical skills

Problem-solving

Education

PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline

Job description

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:

• Designing and implementing state‑of‑the‑art machine learning models for large‑scale prediction problems
• Working with massive structured and alternative datasets to uncover meaningful signals
• Developing novel statistical methods and predictive features
• Reading, evaluating, and extending cutting‑edge academic research
• Designing experiments, testing hypotheses, and validating ideas through simulation
• Collaborating with experienced researchers across disciplines to transform research into production‑ready strategies
• Your research has a direct impact – from idea generation to live trading

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.

• PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline
• Strong interest in machine learning, statistics, or artificial intelligence
• Excellent programming skills in Python
• Outstanding analytical and problem‑solving abilities
• Ability to work independently while collaborating effectively with multidisciplinary teams
• Curiosity, creativity, and a passion for solving difficult problems

What Makes Trexquant Different

• Work on intellectually challenging, open‑ended research problems
• Apply cutting‑edge machine learning to real‑world systems with measurable impact
• Collaborate with accomplished researchers from diverse scientific disciplines
• Access large‑scale datasets and significant computational resources
• See successful ideas transition from research into production
• Join a culture that values curiosity, experimentation, and scientific rigor

• 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 September 2026.

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