Chubb

AVP Actuary

In short

This senior actuarial role at a reinsurance operation focuses on pricing property catastrophe treaties and affiliate reinsurance transactions, plus building pricing models and portfolio analytics tools. It requires a math/statistics degree, actuarial fellowship (FCAS, FIA or equivalent, near-qualified also considered), at least 7 years of (re)insurance experience, and strong Excel/SQL skills with Python or R programming. The role sits within a Bermuda-based reinsurance operation reporting to the Chief Actuary.

Reporting to the Chief Actuary, Bermuda Operations, the AVP Actuary is a senior technical role contributing to the pricing and portfolio analytics for Chubb Tempest Re's third-party and affiliate reinsurance transactions.
Responsibilities include:
•Support the pricing of third-party property catastrophe treaties and affiliate reinsurance transactions across all lines of business.
•Develop and maintain pricing models and portfolio analytics tools to support and evaluate underwriting decision-making.
•Perform quantitative analysis to support outwards retrocessional placements.
•Contribute actuarial insight on pricing strategy and capital allocation in collaboration with underwriting and corporate teams.
•Special projects to improve the underwriting process for all lines of business.
•Reporting on a periodic basis to satisfy internal management and external regulatory requirements.
Requirements:
•An undergraduate degree from an accredited university in mathematics, statistics, or related fields.
•Fellowship from a recognized actuarial professional body (e.g., FCAS, FIA or equivalent). Strong near-qualified candidates will also be considered.
•At least 7 years of experience in the (re)insurance industry, with meaningful exposure to property catastrophe or reinsurance pricing strongly preferred.
•Demonstrated understanding of actuarial techniques related to Property & Casualty pricing.
•Working knowledge of catastrophe models, with ability to critically interpret and integrate model outputs into pricing and portfolio analysis.
•Advanced proficiency in Excel and SQL; programming experience in Python or R.
•Excellent analytical, interpersonal and communication skills.
•Ability to work on their own initiative and in a team environment.
•Ability to manage workload effectively and meet deadlines in a dynamic environment.

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