Quantitative Researcher - Remote

Overview

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.

In Short

• Design and implement machine learning approaches for forecasting and generative modeling
• Develop models for climate and weather perils such as heat waves, severe convective storms, and tropical cyclones
• Build robust training and validation pipelines for climate datasets
• Work with risk and insurance teams to perform business-critical analytics

Requirements

• BA in statistics, computer science, mathematics, or related quantitative field
• Experience programming in Python
• Experience analyzing large datasets
• Strong problem solving and analytical skills

Benefits

• Competitive compensation and equity in a high-growth startup
• Comprehensive health, dental, and vision coverage
• Optional flexible spending account (FSA)
• 401(k) match
• Flexible PTO