Catastrophe Portfolio Modeling Manager – North America

About this role

Catastrophe Portfolio Modeling Manager – North America

Make your mark in Catastrophe Modeling The North American Catastrophe Risk Management team is responsible for catastrophe modelling and portfolio exposure management for AIG’s North American Insurance businesses. Effective Catastrophe Management is integral to the success of the business and our catastrophe modelers play a critical role in managing our global risk appetite. Day to day pricing and portfolio roll-up is carried out at our Centre of Excellence (CoE) in Bangalore, India. The North American Catastrophe Risk Management team is part of a wider Global Catastrophe Analytics team with individuals located across the US, and in London and Singapore.

How you will create an impact The primary responsibility for the individual in this role is to lead the Catastrophe Portfolio modelling for select North America Commercial and Specialty Property business underwritten. The role requires a technically proficient catastrophe modeler with experience building strong relationships with underwriters and underwriting portfolio managers. The role requires core competencies in catastrophe portfolio modelling whilst also providing the chance to get involved in wider analytics strategies including business planning, portfolio optimization, and technical tool development. • Own the catastrophe modelling processes, business partnering relationships, and portfolio management reporting for select North America Commercial, and Specialty product lines including new initiatives such as Syndicate 2479 and other SPV portfolios

• Lead the quarterly and/or monthly portfolio roll-up, ensuring accurate, timely, and insightful reporting across North American Commercial, and Specialty portfolios.

• Develop automated processing and reporting frameworks for all North American business, and 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, to ensure aligned processes access business units and reporting of Special Purpose Syndicate exposures.

• Work closely with underwriting, actuarial, claims, and other functions, integrating catastrophe modelling insights into day-to-day business, and portfolio optimization strategies.

• Carry out other modelling business activities including event response, business planning, budgeting, profit studies, portfolio optimization, reinsurance purchasing, and other exercises where catastrophe risk inputs are required.

• Assist in the development of the company’s internal view of catastrophe risk, and support deployment and change management efforts.

• Support internal partners as needed to respond to rating agency surveys, regulatory filing, data calls and other ad-hoc reporting, for various U.S. state and national insurance regulatory bodies.

• Be a best practices expert for Underwriting Teams, the CoE, and operational groups across the company. Proactively review and propose new or changes to, and play a key role in developing our systems, processes, and strategies

• Continuously engage with the wider Catastrophe Risk Management & Analytics teams, supporting ad-hoc analytics projects and contributing to wider analytics initiatives.

  What we are looking for • 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 and 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

  Not required but highly desired • Experience with market reporting software (PowerBI/Qlikview/Tableau/etc)

• Experience or understanding of reinsurance including contracts, structures, and strategies

• Experience with internal capital models and dealing with regulatory returns

• Experience at a large organisation such as understanding of multinational and matrix structures, would be a bonus

• Experience building data frameworks and governance to enrich data

The base salary range for this position is $120,000-$150,000 and the position is eligible for a bonus in accordance with the terms of the applicable incentive plan. In addition, we’re proud to offer a range of competitive benefits, a summary of which can be viewed here: US Benefits Overview .

#LI-AIG

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your prof

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