PhD Quantitative Researcher — ML for Live Trading

Trexquant Investment LP; Stamford (CT); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Pre-tax commuter benefits

Weekly company meals

Bonus based on performance

Job summary

Trexquant Investment LP is hiring researchers to design and implement cutting-edge machine learning models for live trading. You will work with large, diverse datasets and develop novel statistical features, evaluating ideas through rigorous experiments.

Applicants should hold a PhD in a STEM field, with strong Python skills and excellent analytical abilities. The role is based in Stamford or New York City offices, offering a competitive compensation package including bonuses.

Qualifications

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

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.

Skills

Python

Analytical thinking

Independent work

Collaboration

Curiosity

Education

PhD in STEM or related

Job description

Trexquant Investment LP is hiring researchers to design and implement cutting-edge machine learning models for live trading. You will work with large, diverse datasets and develop novel statistical features, evaluating ideas through rigorous experiments.

Applicants should hold a PhD in a STEM field, with strong Python skills and excellent analytical abilities. The role is based in Stamford or New York City offices, offering a competitive compensation package including bonuses.