Join us as Catastrophe Modelling Analyst
Talbot is an international insurer and reinsurer operating within the Lloyd’s market through Syndicates 1183 and 2019. We have been part of AIG since 2018 and our ambition is to be AIG’s Centre of Excellence at Lloyd’s. Headquartered in London, Talbot has offices in New York and Singapore and over 300 people working across these three locations.
Make your mark
Syndicate 1183 underwrites multiple classes of business including Political Violence/Terrorism, Marine, Energy (off-shore and on-shore), Marine and Energy Liability, Hull, Cargo and Specie, Political Risk, Property, Accident and Health, Financial Lines, Cyber, Alternative Risks, Non-Physical Cyber and Treaty Reinsurance.
Syndicate 2019 reinsures premium written by AIG’s Private Client Group, covering Homeowners, Auto, General Specie and other products.
What you need to know:
To assist generally in the efficient running and management of the business, with particular focus on pricing and underwriter support.
To advance a greater awareness and understanding of the catastrophe models within the underwriting teams and the rest of the business.
To liaise closely with the Research team to ensure that a consistent approach to cat modelling is taken across the group.
To help ensure the framework within which third-party catastrophe models are operated is robust.
To help to achieve minimum standards of data capture.
To help the Catastrophe Modelling team achieve its goals, with particular emphasis on the following areas:
Risk Capture/Pricing – Insurance ClassesTo perform individual submission catastrophe modelling using third party catastrophe models ensuring data checks around accuracy and timeliness are completed to a high standard
To help underwriters understand and use the cat model output appropriately.
To peer review pricing outputs produced by the team both in London and from our third-party outsourcing team generally ensuring data deliverables are accurate
To help advance the use of pricing models and to test, approve and communicate any new functionality
To liaise with internal and external data teams to ensure all modelled policies are captured, that the data is up to date, and data interpretations are accurate.
To maintain the portfolio, taking into account new, renewed, and expired policies.
Generate internal management information including EP reports for the insurance and reinsurance classes to help with the internal monitoring of catastrophe exposures.
To help conduct the quarterly modelling process which is used as the basis for the RDS returns, capital, reinsurance and other key external reports.
To help generate model results and peripheral data for the Lloyd’s Cat Model (LCM) return.
To analyse Talbot’s exposures and model results for other regulatory bodies and reinsurance markets as required.
To keep abreast of all developments in the catastrophe modelling field and to conduct appropriate research, in close co-operation with the Research team.
To assist in developing a more robust view of the models and components through analysis of catastrophe modelling data and back testing.
To help assess the impact of any model changes on Talbot’s accounts.
To help implement model changes in a robust manner.
What you’ll need to succeed
Science/Numerate degree (minimum 2:1)
Strong IT skills especially Excel and SQL
Attention to detail
Analytical/ numerically literate
Good problem solving skills
Able to work as part of a team or independently
Strong communication skills both written and oral
Ability to multi-task and prioritise with limited guidance
Ready to take your career to the next level? We would love to hear from you.
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American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.
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