Inland Flood Analytics & Modeling Specialist

PassFort; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Moody’s is seeking an Analytics & Modeling Analyst (Inland Flood) in London to advance flood risk modeling through data-driven science and AI-enabled methods. You will work with hydrology, climate science, and ML techniques to improve large-scale hazard assessments and decision support.

You will collaborate across scientists, engineers, and data specialists, applying reproducible workflows and communicating findings to stakeholders and clients within a global risk analytics environment.

Qualifications

• PhD or MSc in a quantitative discipline with strong research background.
• Experience in inland flood modeling, hydrology, climate data, and risk analytics.
• Proficiency in Python and ML frameworks; ability to handle large geospatial datasets.

Responsibilities

• Develop and validate inland flood catastrophe models for global risk quantification.
• Calibrate model components using observed data and case studies to improve reliability.
• Analyze flood footprints, hazard metrics, and losses with geospatial tools and visualization.
• Prototype AI/ML methods for surrogate modeling and workflow automation.

Skills

Hydrology & hydraulics

Climate science

Data science

Machine learning fundamentals

Python programming

Geospatial data analysis

Statistical methods

Communication & collaboration

High-performance computing

Education

PhD in Hydrology / related field

MSc + research/industry experience

Tools

PyTorch

R

C/C++

CUDA

Bash

Job description

Moody’s is seeking an Analytics & Modeling Analyst (Inland Flood) in London to advance flood risk modeling through data-driven science and AI-enabled methods. You will work with hydrology, climate science, and ML techniques to improve large-scale hazard assessments and decision support.

You will collaborate across scientists, engineers, and data specialists, applying reproducible workflows and communicating findings to stakeholders and clients within a global risk analytics environment.