Quant jobs / Trexquant

Quantitative Researcher - PhD (USA)

This doctorate-focused role applies scientific research and machine learning to financial prediction. Hiring matches researchers to alpha, data-science or strategy teams based on their strengths.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Engineer predictive features from financial and alternative data
Develop and compare statistical learning methods
Evaluate academic research through controlled experiments
Work with colleagues to move validated ideas into trading

What they ask for

Required

STEM doctorate
Strong Python programming
Interest in machine learning, statistics or AI
Analytical reasoning
Independent and collaborative research

Education: Doctorate in computing, physics, maths, statistics, engineering, economics or another STEM subject.
Experience: No finance work history or minimum professional year count is required.
Languages and tools: Python
Markets: multi-asset

How to prepare

Translate a doctoral research idea into a measurable prediction task
Build a reproducible simulation with clear validation rules
Explain where a complex model improves on a simple baseline

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Trexquant’s site before applying: requirements, location and pay can change after we check them.

View the posting on Trexquant’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Trexquant and doesn’t handle applications.