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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. In this role, 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.
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 including structural or civil engineering, resilience engineering, materials science, catastrophe or risk modeling, construction cost estimation, statistics, or data science.
- Comfortable moving between engineering fundamentals and large datasets, challenging assumptions, working through uncertainty, and developing practical solutions when perfect data does not exist.
- Ability 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.
- Ability 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.
Skills
- Structural or 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 analysis
- Python
- Scientific programming
- Collaborative software development
- Version control systems (Git)
- Machine learning and AI techniques
- Large and complex dataset analysis
- High-performance computing environments
- Cloud platforms (AWS, GCP, Azure)
Location
- Global
Work Type
- Flexible working arrangements
Experience Level
- Master’s degree with 3 - 5+ years of relevant experience
- Ph.D. preferred
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, and overall wellbeing support
- Advanced technology
- Collaborative workspaces
- Access to Learning@MSCI platform
- AI Learning Center
- LinkedIn Learning Pro
- Tailored learning opportunities for ongoing skills development
- Multi-directional career paths
- Professional growth and development
- Internal mobility
- Expanded roles
- 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 powers better decisions through its industry-leading network of creative, curious, and entrepreneurial pioneers.
- 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.
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.