We exist to make the connection between climate and financial risk at scale for financial institutions, companies and governments. Backed by General Catalyst.
About the role
Our mission: We exist to connect climate and financial risk. Who we are: First Street is the standard for Climate Risk Financial Modeling. For over a decade, we’ve been translating climate risk into decision-useful financial outcomes for investors, businesses, communities, and property owners worldwide. With backing from world-class firms, including Innovation Endeavors, Galvanize, General Catalyst, and others, our team has raised millions to change how the global economy thinks about climate change.
What they're looking for
- Ph.D. (preferred) or Master’s degree with 3 years experience in structural engineering, civil engineering, operation research, or a related field
- Strong background in vulnerability developments, statistics, and/or quantitative analytics
- Hands-on experience in developing risk models for buildings or infrastructure systems using machine-learning models or statistical methods
- Experience working with multi-hazard data, catastrophe models, building level damage data, and construction cost estimation data
- Expertise using scripted languages like Python
- Expertise in a science-based approach with a high degree of concern for reliability, accuracy and reproducibility
More about this role
Our mission: We exist to connect climate and financial risk.
Who we are: First Street is the standard for Climate Risk Financial Modeling. For over a decade, we’ve been translating climate risk into decision-useful financial outcomes for investors, businesses, communities, and property owners worldwide. With backing from world-class firms, including Innovation Endeavors, Galvanize, General Catalyst, and others, our team has raised millions to change how the global economy thinks about climate change.
Read more about our culture here and see what Climate Risk Financial Modeling is all about here .
Our data: We’ve assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies. Using physics-based deterministic models, we predict the likelihood of floods, wildfires, hurricanes, and other hazards at any location on Earth, along with associated damage and downtime.
Our customers: We aim to incorporate climate risk data into every financial decision made today. We are relied on every day by:
Institutional...
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