Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and 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, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.What You’ll Be DoingYou will work closely with team members to quantify and price climate and weather risk using Arbol's proprietary risk framework. The ideal candidate for this role is someone who has a background in Finance and/or Meteorology/Climate Science. This role requires an intermediate proficiency in Python - familiarity with the Pandas and Numpy libraries is critical. -Use Arbol's risk framework (Python) to estimate the uncertainty of weather and climate events -Communicate pricing details to members of the pricing team and to other stakeholders within the firm -Exploratory data analysis of pricing-related data -Weather data cleaning, reconciliation, augmentation, imputation and pre-processing.About the TeamThe Pricing team is responsible for estimating the uncertainty of weather and climate events. You’ll be joining a small team of 4 and will have a unique opportunity to join a team that works closely with Arbol’s insurance, agriculture, and energy teams. The team also works closely with Arbol’s C-suite, including daily discussions with our CEO. What You'll Need Bachelor's degree in a STEM major (Finance, Meteorology or Atmospheric Science preferred) At least 3 months of related internship experience Experience using Python (pandas & numpy) to analyze time series data Demonstrated knowledge of descriptive statistics and probability theory Strong presentation and communication skillsWillingness to work and learn in a fast-paced environment What's Great to Have 1-2 years of experience in a data analyst, quantitative analyst, or related role Any experience in time series analysis of weather and climate data Interest in climate science and financeCandidates for this role must be located in the United States.Interested, but you don’t meet every qualification? Please apply! Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement.AccessibilityArbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact hr@arbol.ioBenefitsArbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup. Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health. We offer a 401(k) match to support your future, and 20 days of PTO for you to relax and recharge.
