Quant jobs / Schonfeld

2027 Index Rebalancing Quantitative Research Intern

A 3–6 month internship on Schonfeld's APAC Tactical team, researching market inefficiencies around index rebalancing in Asia-Pacific. Interns own a project from start to finish.

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.

Find and test ideas that exploit index-related inefficiencies in Asia-Pacific
Build research tools and data pipelines, using AI agents
Present and defend findings to the portfolio manager and team

What they ask for

Required

Quantitative degree in progress
Strong coding
Database skills
Probability and statistics
Experience building with AI tools
Clear communication

Education: Currently pursuing a degree in a quantitative field.
Experience: Current students
Markets: equities

How to prepare

Learn how index inclusion, deletion and rebalancing events work
Run a simple event study on index changes using public data
Practise SQL and Python for a small data pipeline
Learn to challenge your own results with robustness checks

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

View the posting on Schonfeld’s site ↗

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