Quantitative Researcher

Summary

Join Arbol, a global climate risk coverage platform, and contribute to the development and implementation of AI and automation tools for complex insurance operations. You will leverage LLMs, vision, and agentic models to analyze multimodal datasets and automate business-critical processes. This role requires a quantitative background and strong problem-solving skills. The position offers the opportunity to work with a small team of data scientists, engineers, and meteorologists in a fast-paced startup environment. Arbol provides competitive compensation and equity, along with comprehensive health benefits, 401(k) matching, and flexible PTO.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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)

Benefits

• Competitive compensation and equity in a high-growth startup
• Comprehensive health, dental, and vision coverage
• Optional flexible spending account (FSA) to support your health
• 401(k) match to support your future
• Flexible PTO for you to relax and recharge