Catastrophe Portfolio Modeling Manager leading catastrophe modeling for North America insurance businesses at AIG. The role involves analytics strategies, portfolio optimization, and stakeholder collaboration.
Responsibilities
Lead the Catastrophe Portfolio modelling for select North America Commercial and Specialty Property business underwritten.
Develop automated processing and reporting frameworks for all North American business.
Provide advice and data driven insights that will support Underwriting and Portfolio Management.
Develop close relationships with Internal and external partners including brokers, MGA’s, and Talbot Cat Modelling.
Work closely with underwriting, actuarial, claims, and other functions.
Carry out other modelling business activities including event response, business planning, budgeting, profit studies, portfolio optimization, reinsurance purchasing, and other exercises.
Requirements
Bachelor’s degree in an analytical field (e.g., Mathematics, Statistics, Finance, etc.); or Masters degree in an analytical field is a plus.
7+ Years of catastrophe portfolio modelling experience, preferably using RMS and/or AIR.
Excellent analytical and problem solving skills.
A strong understanding of property insurance and reinsurance.
Progress towards industry qualifications (e.g. CPCU) would be a bonus.
Experience using reinsurance modelling software such as Metarisk, Remetrica, Igloo, or others similar tools
In-depth knowledge of catastrophe models including their numerical methods, and science
Excellent SQL skills and an understanding of RMS back-end schema
Technical proficiency in an additional programming language such as R or Python
Experience with process and reporting automation in Excel
An ability to communicate technical concepts in a non-technical manner, to a wide range of audiences.
Excellent communication, presentation, and interpersonal skills.
Experience with internal capital models and dealing with regulatory returns is a bonus.
A very high degree of independence and an ability to manage multiple workloads and projects with competing priorities.
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