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Arbol is a global climate risk coverage platform & FinTech company offering full-service solutions for any business looking to analyze & mitigate exposure to climate risk. Arbol's products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbol's key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, & non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, & efficiency to parametric coverage.
What You'll Be Doing ou will work closely with team members to quantify climate & weather risk using Arbol's proprietary risk framework. Additionally, you will be responsible for performing exploratory data analysis on weather & climate data stored on dClimate. The ideal candidate for this role is someone who has a background in Meteorology/Climate Science OR someone who has experience assessing financial risk (specifically: weather-driven commodities). This role requires an intermediate proficiency in Python - familiarity with the Pandas & Numpy libraries is critical. Use Arbol's risk framework (Python) to estimate the uncertainty of weather & climate events Communicate pricing details to members of the pricing team & to other stakeholders within the firmExploratory data analysis of weather & climate datasets
About the Team The Pricing team is responsible for estimating the uncertainty of weather & climate events. You'll be joining a small team of 4 & will have a unique opportunity to join a team that works closely with Arbol's insurance, agriculture, & energy teams. The team also works closely with Arbol's C-suite, including daily discussions with our CEO.
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