Quant jobs / MSCI

Climate Hazard Modeling, VP

MSCI is hiring a scientific lead for models of physical climate risk. The role combines climate science, numerical methods and machine learning to develop validated risk products.

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.

Lead development of physical hazard models.
Set model-validation methods for changing climate conditions.
Build reproducible scientific pipelines with data and cloud teams.
Coordinate research delivery across scientific specialisms.

What they ask for

Required

Climate or environmental modelling
Scientific team leadership
Python, R, C/C++ or Fortran
Geospatial data formats
Climate-model outputs
Scientific validation

Preferred

Financial-services or index knowledge

Education: PhD in a relevant physical-science, engineering or mathematical discipline.
Experience: At least five years developing environmental products for clients.
Languages and tools: Python
R
C++
Fortran

How to prepare

Validate a climate-hazard model across regions.
Work with geospatial climate scenarios and reproducible data pipelines.
Explain uncertainty and model limitations in a physical-risk report.

What to study

The Risk Quant 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.