Quant jobs / WorldQuant

Quantitative Research Intern

A research internship where students build models and analyse data to predict global markets, with a mentor. Strong interns can be considered for full-time offers.

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.

Build computer models that try to predict global markets
Explore many types of data and apply them to markets
Work with a one-to-one mentor
Present findings to the research team

What they ask for

Required

Studying for a bachelor's, master's or PhD in a quantitative field
Graduating in late 2027 or 2028
At least one programming language
Linux/Unix familiarity
English reading and writing

Education: Currently pursuing a bachelor's, master's or PhD in a related field
Experience: Internship; no finance experience required
Languages and tools: Python
C++

How to prepare

Build and backtest a basic alpha signal in Python
Learn basic statistics for financial data
Get comfortable with Linux
Read an introduction to how quant funds do research

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 WorldQuant’s site before applying: requirements, location and pay can change after we check them.

View the posting on WorldQuant’s site ↗

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