Quantitative Researcher - PhD (USA)
At a glance
Mid-level Data Science role at Trexquant Investment. New York · full-time · $150,000–$200,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build machine learning models that find predictive patterns in financial markets
- Work with structured and alternative datasets to uncover useful signals and create predictive features
- Read academic research, assess its methods, and extend ideas for your research
- Design experiments, test hypotheses, and use simulation to validate research ideas
- Work with researchers across disciplines to move successful strategies into production
What you bring
- A PhD in computer science, physics, mathematics or another listed STEM discipline
- Strong Python programming skills and a clear interest in machine learning, statistics or AI
- Strong analytical problem-solving skills, plus the ability to work independently and with multidisciplinary teams
Who this fits
This role suits a PhD researcher interested in applying machine learning, statistics or AI to open-ended research problems. The position is based onsite in New York City or Stamford.
From the employer
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.
Requirements
- 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
Benefits
- Competitive salary plus bonus 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 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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