Quantitative Researcher - PhD (USA)
About The Position
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.
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
Responsibilities
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
