Quant jobs / MSCI

Real Estate Researcher

MSCI’s real-estate researchers build analytical tools and investigate investment-market data. This role uses statistical methods, code and AI-assisted workflows to turn research into useful client insights.

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.

Clean and model real-estate capital-market datasets.
Prototype analytical tools for investment questions.
Produce charts and research commentary from quantitative findings.
Answer client questions with reproducible data analysis.

What they ask for

Required

Python or SQL
Statistical and econometric analysis
Data visualisation
AI-assisted research
Research communication

Preferred

Commercial real-estate knowledge

Education: No degree requirement is stated in the description.
Experience: Demonstrated research and technical capability; no minimum years specified.
Languages and tools: Python
SQL

How to prepare

Model a property-market time series and examine residuals.
Build a reproducible chart from messy transaction data.
Check an AI-assisted market narrative against underlying calculations.

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

View the posting on MSCI’s site ↗

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