Quant jobs / MSCI

Director/VP, AI Research — Private Assets R&D

This senior MSCI research role develops AI methods for private-market investment analytics. It owns research spanning comparable pricing, cash-flow forecasting and language-model applications across private assets.

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.

Develop AI-based comparable selection and pricing research.
Extend cash-flow and nowcasting models using modern machine learning.
Prototype agent workflows that can become investment products.
Present validated methods to institutional clients and research leaders.

What they ask for

Required

Applied AI research
Python
Modern ML frameworks
End-to-end model delivery
Technical communication

Preferred

R
Private-market expertise
Financial-text analysis
Agent frameworks

Education: A qualification in computing, statistics, mathematics or another quantitative subject; a specific degree level is not stated.
Experience: At least five years of AI, ML or quantitative research with production delivery.
Languages and tools: Python
R
Markets: credit, multi-asset

How to prepare

Build an embedding-based comparable-company selection example.
Backtest a cash-flow forecast with time-respecting validation.
Evaluate a financial-document extraction model for accuracy and explainability.

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 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.