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Talent jobs in Grande-Bretagne

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Catastrophe Modelling Analyst
AIG
Greater London
Sur place
GBP 45 000 - 65 000
Plein temps
Il y a 9 jours

Résumé du poste

A leading global insurance firm is seeking a Catastrophe Modelling Analyst. This role focuses on supporting model usage, ensuring data accuracy, and performing catastrophe modelling. The ideal candidate should possess a numerate degree and strong IT skills, particularly in Excel and SQL. Commitment to detail and effective communication are key. AIG offers a collaborative environment and a comprehensive benefits package to support employee health and development.

Prestations

Comprehensive benefits package
Support for professional development

Qualifications

  • A degree in a numerate subject with a minimum of 2:1.
  • Demonstrable proficiency in Excel and SQL.
  • Must be attentive to detail and analytical.

Responsabilités

  • Assist in the efficient running and management of the business.
  • Perform individual submission catastrophe modelling using third-party models.
  • Generate internal management information and help conduct quarterly modelling processes.

Connaissances

Strong IT skills, especially Excel and SQL
Attention to detail
Analytical/numerically literate
Good problem-solving skills
Strong communication skills (written and oral)
Ability to multi-task and prioritise

Formation

Science/Numerate degree (minimum 2:1)

Outils

SQL
Excel
Description du poste
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 Classes
  • To 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.
Internal and External reporting
  • 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.
Model Investigation and Implementation
  • 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.

#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 professional development—to bring peace of mind to you and your family.

Reimagining insurance to make a bigger difference to the world

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.

Welcome to a culture of inclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.

Functional Area: RK - Risk Talbot Underwriting Services Ltd (TS1)

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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