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About the Role

We are looking for an expert in risk and resilience of the built environment to help advance how physical climate risk is translated into real-world financial impacts. You will work closely with scientists, engineers, and data experts to build sophisticated loss and resilience models that quantify what those hazards mean for buildings and infrastructure around the world. These models are a critical link between physical and financial risk, enabling our customers to understand not only where risk exists, but what it could mean financially—and how investments in resilience and adaptation can reduce that risk. This is a highly interdisciplinary role at the intersection of engineering, resilience, materials science, cost estimation, statistics, and data science.

Responsibilities

Connect physical climate risk to financial risk by developing custom loss models that quantify impacts to buildings, infrastructure, and other assets globally, integrating them with First Street’s hazard models.
Model damage, recovery, and economic impacts by developing estimates of structural damage, repair costs and timelines, downtime, and indirect impacts using approaches including engineering first principles, cost estimation, statistical methods, and machine learning.
Turn imperfect data into actionable models by analyzing historical loss and observational datasets, identifying data limitations and quality-control issues, and developing technically sound approaches to address them.
Validate model performance and quantify uncertainty through statistical analysis of model predictions, observational data, sensitivities, and uncertainty to ensure outputs are scientifically rigorous and decision-useful.
Translate research into scalable modeling approaches by evaluating academic literature, engineering research, industry standards, and emerging methodologies and incorporating relevant insights into quantitative loss and resilience models.
Characterize the global built environment by analyzing building codes, exposure datasets, construction practices, materials, occupancy types, and regional differences to inform vulnerability and loss model development across diverse geographies.
Model the value of resilience and adaptation by developing property-level adaptation scenarios that allow customers to understand how protective measures can reduce damage and downtime and evaluate the potential return on investment of resilience interventions.

Requirements

Expertise across several disciplines rather than fitting neatly into a single technical category.
Comfortable moving between engineering fundamentals and large datasets, challenging assumptions, working through uncertainty, and developing practical solutions when perfect data does not exist.
Excited by the opportunity to build models that transform complex climate science into information that can support better financial, infrastructure, and resilience decisions.
Ability to operate in areas where established datasets or methodologies may not yet exist.
Knows how to move from first principles to a working model, make thoughtful assumptions when evidence is limited, test those assumptions against available data, and communicate uncertainty clearly.
Experience building property-level loss models from scratch, working across multiple natural hazards, or developing models that connect physical damage and recovery to financial outcomes will be particularly valuable.

Skills

Structural engineering
Civil engineering
Resilience engineering
Materials science
Catastrophe or risk modeling
Construction cost estimation
Statistics
Data science
Vulnerability and loss modeling
Probabilistic methods
Quantitative analysis
Engineering-based approaches
Statistical methods
Machine learning
Multi-hazard and catastrophe risk data
Hazard intensity measures
Building-level damage and loss observations
Exposure datasets
Construction characteristics
Repair or construction cost data
Scalable and generalizable catastrophe risk models
Python
Scientific programming languages
Reliable, maintainable, and reproducible analytical workflows
Rigorous, science-driven approach to model development
Accuracy
Reliability
Transparency
Validation
Reproducibility
Resilience
Vulnerability
Catastrophe risk
Loss modeling
Engineering standards
Technical guidelines
Emerging methodologies
Machine learning and AI techniques
Analyzing large and complex datasets
High-performance computing environments
AWS
GCP
Azure
Collaborative software development practices
Version control systems
Git
Scientific research and publication
Communicate complex methodologies and findings clearly

Experience Level

3 - 5+ years of relevant experience

Education Level

Ph.D. preferred
Master’s degree
Structural Degree or Civil Engineering (with a structural focus)

Salary/Compensations

$102,000 - $133,000 / year
Eligible for annual bonus

Benefits

Transparent compensation schemes
Comprehensive employee benefits, tailored to your location
Financial security
Health
Overall wellbeing
Flexible working arrangements
Advanced technology
Collaborative workspaces
Culture of high performance and innovation
Experiment with new ideas
Take responsibility for achieving results
Global network of talented colleagues
Inspire, support, and share expertise
Global Orientation program
Learning@MSCI platform
AI Learning Center
LinkedIn Learning Pro
Tailored learning opportunities
Multi-directional career paths
Professional growth and development
New challenges
Internal mobility
Expanded roles
Environment that builds a sense of inclusion belonging and connection
Eight Employee Resource Groups (All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum)

About the Company

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language.
Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation.
We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.
At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions.
You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers.
This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

Equal Opportunity

MSCI Inc. is an equal opportunity employer.
It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law.
MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities.
If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed.
Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.