Quant jobs / Moody's

Analytics & Modeling Analyst - Flood Modeller

Moody’s flood modeller develops scientific components for catastrophe-risk assessment. The work combines geospatial data, physical modelling and ML-based methods.

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.

Prepare geospatial hazard inputs.
Calibrate flood-model components.
Validate simulated hazards against observations.

What they ask for

Required

Python
Machine-learning fundamentals
Scientific modelling
Technical communication

Preferred

GIS data refinement
Linux HPC

Education: Relevant scientific or quantitative MSc required.
Experience: Zero to two relevant years.
Languages and tools: Python
R
C++
Fortran
CUDA
Bash
PyTorch

How to prepare

Validate simulated flood extents.
Prepare reproducible elevation-data inputs.
Quantify model prediction errors.

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

View the posting on Moody's’s site ↗

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