Quantitative Researcher, Arbol

• 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
• 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

Desirable

• Work with operations and insurance teams to automate and deliver business-critical processes and analytics
• In this role, you will research, develop, and implement AI and automation tools for complex insurance operations
• 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
• Analyze multimodal datasets of texts and images
• Build robust training and validation pipelines for AI models
• 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