Analytics & Modeling Analyst (Inland Flood)

Moody; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Moody's Analytics is seeking an Analytics & Modeling Analyst (Inland Flood) to join the Model Development team in London. You will contribute to developing and validating inland flood catastrophe models used to quantify and manage flood risk globally.

You will calibrate model components, analyze flood footprints with geospatial tools, and explore AI/ML methods for surrogate modeling and workflow automation, collaborating with scientists, engineers, and data specialists.

Qualifications

• PhD in hydrology, hydraulics, climate science, applied math, data science or related field.
• MSc candidates with strong research or industry experience are encouraged to apply.
• Experience with ML model training, validation, and evaluation.

Responsibilities

• Support development and validation of inland flood catastrophe models.
• Develop and apply large-scale flood hazard model components (stochastic rainfall, hydrology, routing).
• Calibrate and validate model components using observed data and benchmarks.
• Analyze flood footprints, hazard metrics, and loss patterns with geospatial tools.
• Explore AI/ML methods for surrogate modeling, downscaling, anomaly detection, and automation.
• Maintain reproducible workflows, data pipelines, and code repositories.
• Collaborate with scientists, engineers, and data specialists to ensure quality and innovation.
• Communicate findings to stakeholders and the scientific community through reports and talks.

Skills

Hydrology

Hydraulics

Climate science

Applied mathematics

Data science

Computer science

Machine learning

Python

R

C/C++

CUDA

Bash

Geospatial analysis

Statistics

Data visualization

Stakeholder communication

Education

PhD in Hydrology or related quantitative discipline

MSc with strong research or industry experience

Tools

PyTorch

GIS

SQL

Git

HPC

TensorFlow

Job description

Let's begin! Analytics & Modeling Analyst (Inland Flood) (15224)

Requisition ID15224-Posted10/19/2026-London - Minster Building

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action- enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

• Strong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative discipline
• Understanding of machine learning fundamentals including model training and validation, overfitting, and model evaluation
• Experience with one or more machine learning or deep learning approaches such as Long Short-Term Memory networks, Convolutional Neural Networks, and frameworks including PyTorch
• Practical programming experience in Python and familiarity with scientific computing environments; experience with R, C/C++, Fortran, CUDA, or Bash is preferred
• Ability to analyze, validate, and interpret large geospatial, hydrological, and climate datasets using statistical methods and visualization techniques
• Strong communication and collaboration skills with the ability to explain technical concepts to multidisciplinary stakeholders
• Experience working with high-performance computing environments, geographic information systems, structured query language, or data assimilation techniques is desired
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

• PhD in Hydrology, Hydraulics, Coastal and Ocean Engineering, Climate Science, Applied Mathematics, Data Science, Computer Science or a related quantitative discipline
• Candidates with a relevant MSc and strong research or industry experience are also encouraged to apply

Responsibilities

Support the development and validation of inland flood catastrophe models used to quantify and manage flood risk globally.

• Contribute to the development and application of large-scale flood hazard model components including stochastic rainfall generation, rainfall-runoff processes, hydraulic routing, floodplain inundation, and flood defense failure mechanisms
• Calibrate and validate model components using observed datasets, benchmark studies, and published research to improve model performance and reliability
• Analyze flood footprints, hazard metrics, and loss patterns using statistical methods, geospatial tools, and data visualization techniques
• Research, evaluate, and implement innovative scientific and computational approaches to advance flood hazard modeling capabilities
• Explore, prototype, and assess artificial intelligence and machine learning methods for surrogate modeling, spatial downscaling, anomaly detection, feature extraction, emulator development, and workflow automation
• Develop and maintain reproducible scientific workflows, data processing pipelines, and code repositories using modern software development practices
• Collaborate with scientists, engineers, and data specialists to support model development, quality assurance, and scientific innovation
• Communicate research findings and modeling insights to internal stakeholders, clients, and the broader scientific community through presentations, reports, and technical discussions

About the Team

Our Model Development team is responsible for building industry-leading natural catastrophe models that help quantify the financial impacts of natural hazards. The team brings together scientists, engineers, and data specialists working across flood, storm, and climate-related perils to advance risk analytics through cutting-edge research, large-scale modeling, and data innovation. By joining the Inland Flood team, you will contribute to high-impact scientific work in a collaborative environment that embraces the responsible use of artificial intelligence, machine learning, and advanced computational techniques to improve model performance and decision-making.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.