Quantitative Researcher

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.

About the Role

In this role, you will research, develop, and implement AI and automation tools for complex insurance operations. You will work with disparate unstructured data sources using the latest LLM, vision, and agentic models to solve a variety of classification and decision-making tasks. This will require exciting technical insights coupled with business understanding gained through interaction with other teams. 

We are looking for someone with a quantitative background and an interest in applying that skillset toward business-driven research problems at the intersection of AI and insurance.

About the Team

The quant team is responsible for making sense of the terabytes of data Arbol has at its disposal. It forms the connective tissue between more client-facing teams, such as sales, and back-end roles like data engineering. You’ll be joining a small team of data scientists, engineers and meteorologists and will have a unique opportunity to impact many levels of the firm. This is an ideal position for someone interested in building machine learning systems while taking a deep dive into the insurance industry.

What You'll Be Doing

• Analyze multimodal datasets of texts and images
• Build robust training and validation pipelines for AI models
• Work with operations and insurance teams to automate and deliver business-critical processes and analytics

What You'll Need

• BA in statistics, computer science, mathematics, or related quantitative field
• Experience programming in Python
• Experience analyzing large, unstructured text and image datasets
• Strong problem solving and analytical skills
• Interest in working in a fast-paced, high-impact startup environment

What's Great to Have

• 2-5 years of experience with automation, AI, and AI APIs (eg OpenAI)
• Experience working with insurance data and processes (claims, underwriting)
• Comfort with statistics (e.g., linear regression, hypothesis testing)

Candidates 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.

Accessibility

Arbol 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 [email protected]

Benefits

Arbol 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 flexible PTO for you to relax and recharge.