Climate Risk & Resilience Modeler

MSCI Inc; New York (NY); On-site; USD 102,000 - 133,000; Full time

Job summary

MSCI Inc. seeks an expert in risk and resilience modeling to translate built-environment hazards into financial impact estimates. You will build loss and resilience models for buildings and infrastructure worldwide, integrating hazard data and economic outcomes to guide investments in resilience.

The role spans engineering, statistics, data science, and cost estimation. You will develop scalable, data-driven models, validate results, and communicate uncertainties while collaborating with

Qualifications

• Ph.D. preferred, or a Master’s degree with 3-5+ years of relevant experience in structural engineering, civil engineering, operations research, resilience engineering, catastrophe risk, or related quantitative field.
• Structural Degree or Civil Engineering (with a structural focus).
• Strong technical foundation in vulnerability and loss modeling, statistics, probabilistic methods, and quantitative analysis.
• Hands-on experience developing risk, vulnerability, or loss models for buildings and infrastructure, using engineering-based approaches, statistical methods, machine learning.
• Demonstrated ability to develop loss models from the ground up, including methodology, data sourcing, calibration, validation, and uncertainty.
• Experience with multi-hazard and catastrophe risk data, exposure datasets, construction characteristics, and repair/cost data.
• Experience developing scalable catastrophe risk models across portfolios and geographies.
• Advanced proficiency in Python or other scientific programming languages; reproducible workflows.
• Science-driven approach to model development emphasizing accuracy, validation, and transparency.
• Knowledge of current resilience, vulnerability, catastrophe risk, and loss modeling literature and standards.
• Experience applying machine learning/AI to engineering, risk, resilience modeling.
• Experience analyzing large datasets in HPC environments and cloud platforms (AWS, GCP, Azure).
• Proficiency with Git and collaborative software development practices.
• Strong scientific publication record demonstrating rigorous technical work.

Responsibilities

• Connect physical climate risk to financial risk by developing custom loss models for buildings and infrastructure globally.
• Model damage, recovery, and economic impacts using engineering, cost estimation, statistics, and machine learning.
• Turn imperfect data into actionable models by analyzing historical loss and observational data and addressing data quality issues.
• Validate model performance and quantify uncertainty to ensure rigorous, decision-useful outputs.
• Translate research into scalable modeling approaches by incorporating literature and methodologies into loss and resilience models.
• Characterize the global built environment by analyzing codes, exposure data, construction practices, and regional differences.
• Model the value of resilience and adaptation by evaluating protection measures and ROI of resilience interventions.

Skills

Python

Machine learning

Data science

Statistics

Risk modeling

Catastrophe risk

High-performance computing

Engineering fundamentals

Education

Ph.D. preferred

Master’s degree (3-5+ years)

Structural/Civil engineering degree

Tools

Git

AWS

GCP

Azure

Job description

MSCI Inc. seeks an expert in risk and resilience modeling to translate built-environment hazards into financial impact estimates. You will build loss and resilience models for buildings and infrastructure worldwide, integrating hazard data and economic outcomes to guide investments in resilience.

The role spans engineering, statistics, data science, and cost estimation. You will develop scalable, data-driven models, validate results, and communicate uncertainties while collaborating with