Ledgebrook
Finance • Fintech • Insurance
Ledgebrook is a tech-enabled E&S managing general agent (MGA) that provides wholesale brokers with a fast and efficient quoting experience. With a focus on speed and technology-driven underwriting solutions, Ledgebrook utilizes advanced modeling and analytics to deliver quotes rapidly and enhance broker submissions. The company offers various insurance products, including general liability, professional liability, and excess casualty coverage, ensuring tailored solutions for specific client needs.
AI/ML Engineer
Job not on LinkedIn
October 16
Ledgebrook
Finance • Fintech • Insurance
Ledgebrook is a tech-enabled E&S managing general agent (MGA) that provides wholesale brokers with a fast and efficient quoting experience. With a focus on speed and technology-driven underwriting solutions, Ledgebrook utilizes advanced modeling and analytics to deliver quotes rapidly and enhance broker submissions. The company offers various insurance products, including general liability, professional liability, and excess casualty coverage, ensuring tailored solutions for specific client needs.
📋 Description
• Develop ML-driven pricing models to generate underwriting decisions autonomously, increasing capacity from 100 to 1000+ submissions per underwriter per month. • Design models to forecast risk and optimize pricing strategies using structured and unstructured data. • Implement AI models that extract insights from loss run reports, reducing manual work and accelerating turnaround times. • Use NLP and deep learning to process structured and unstructured insurance documents, improving decision-making efficiency. • Develop and deploy computer vision models to analyze property imagery for key underwriting features such as roof material, condition, and structure. • Build a chatbot leveraging LLMs to assist underwriters with document analysis and risk assessment.
🎯 Requirements
• 3+ years of experience in software engineering with a focus on machine learning, AI, or data science. • Proven experience building and deploying LLM applications in production. • Strong background in time series forecasting, NLP, and predictive modeling. • Hands-on expertise with AWS cloud services (e.g., Lambda, S3, Bedrock, SageMaker, DynamoDB, etc.). • Proficiency with Python for backend and AI development. • Ability to work autonomously and own projects from ideation to deployment. • Passion for AI-driven automation and disrupting traditional industries.
🏖️ Benefits
• Competitive salary + meaningful equity ownership • 100% employer-paid health insurance • 100% remote work, flexible hours • Unlimited paid time off
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