Quant jobs / Trexquant

Quantitative Researcher Intern - Summer 2027 (CHINA)

The Beijing internship gives 2028 graduates practical experience in systematic research during July–September 2027. Projects use datasets and machine learning to investigate predictive signals.

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.

Explore datasets with experienced researchers
Create features to improve existing forecasts
Reproduce research methods from academic papers
Evaluate signal combinations and portfolio effects

What they ask for

Required

Python
Interest in machine learning and finance
English communication
Problem-solving and teamwork
On-site availability in Beijing

Preferred

Quantitative-research experience
Financial-accounting knowledge

Education: Targets students graduating in 2028; no degree level is specified.
Experience: Research experience is preferred; full-time availability July–September 2027.
Languages and tools: Python
Markets: equities

How to prepare

Reproduce a small machine-learning experiment on market data
Document feature timing and validation choices
Practise explaining a research result clearly in English

What to study

The Quantitative 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.