Underwriting Risk Modeler or Capital Modeler- Commercial Lines

Description The Global Risk Solutions (GRS) Capital & Analytics group is seeking a highly motivated individual to join its Insurance Risk Parameterization & Analytics team. This individual will contribute to a small team of modelers responsible for designing, developing, and implementing dynamic UW Risk modeling and analysis for the Global Risk Solutions organization. They will support UW Risk parameterization, modeling, and validation as well as wide-ranging uses of the models. The successful candidate will have strong analytical abilities, enjoy developing statistical models and processes, working with large data sets, and diving deep into drivers of line of business dynamics. Global Risk Solutions is a leading provider of commercial, specialty insurance, and reinsurance products, delivering a wide array of innovative products, deep technical expertise, strong client engagement and market-leading performance worldwide. The product lines include workers’ compensation, commercial multi-peril, surety bonds, crisis management, marine, terrorism, management liability, cyber liability, and energy. Responsibilities Collaborate with other team members to achieve the following goals. Parameterize UW Risk excluding natural catastrophe risk Build and maintain UW risk models and output exhibits Develop new solutions and improvements for statistical models and processes used to calculate these inputs Maintain clear and concise documentation of methods and activities Implement timely and practical solutions to complex problems Validate model parameterization and model function Collaborate with Underwriting and Actuarial to understand the business and guide development of Risk Analytics tools that accurately reflect the business Communicate processes and parameterization results to stakeholders outside of the team Preferred Qualifications Bachelor’s degree or higher in Mathematics, Actuarial Science, Statistics, Finance, Economics, or similar required Minimum 5-7 years relevant