Quant jobs / MSCI

Director of COE for Machine Learning Research

MSCI is building a research centre applying machine learning to institutional investing. Its director will lead researchers developing systematic signals, portfolio methods and valuation models.

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.

Set a research agenda for deep and reinforcement learning in investing.
Translate signals extracted from documents into investment models.
Build and mentor a team of advanced researchers.
Deliver validated research for MSCI products and institutional clients.

What they ask for

Required

PhD-level quantitative research
Quantitative finance
Advanced programming
Research-team leadership
Technical communication

Preferred

ML or quantitative-finance publications

Education: PhD in computing, statistics, mathematics, physics, operations research or another quantitative field.
Experience: Experience building and mentoring technical teams; no minimum number of years stated.
Markets: multi-asset

How to prepare

Backtest an ML investment signal with controls for data leakage.
Compare reinforcement-learning allocation against simpler baselines.
Present a research proposal that connects model evidence to investment use.

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.