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Catastrophe Modeller (Entry Level)

Lockton, Inc. London, Vereinigtes Königreich
Gepostet vor 8 Stunden Festanstellung Competitive

Catastrophe Modeller (Entry Level)

Lockton, Inc. London, Vereinigtes Königreich
Catastrophe Modeller (Entry Level)
Vacancy details

Job Profile

Lockton - Graduate

Title

Catastrophe Modeller (Entry Level)

Description

Lockton Re helps businesses understand, mitigate, and capitalise on risk. We're pushing the reinsurance industry forward with smarter solutions that leverage new technologies - delivered by people empowered to do what's right for clients growing to a headcount of around 600 associates globally across 24 locations.

We're the reinsurance group of Lockton Companies, the world's largest privately-held insurance broker. Fierce independence frees us to deliver an exceptional client service experience, unencumbered by pressure from financial markets, geographical divides or silos, or conflict of interest between organisational goals and our clients' needs.

As a part of its continued growth, and in line with the principle of being 'born digital', we are looking to expand our London Catastrophe Modelling team by opening a new entry-level position. Based in our London office, you will quickly learn the fundamentals of catastrophe modelling using a variety of models, datasets, and software.

The role will have an initial focus on modelling earthquake risk in Turkey, but with opportunities to model a range of perils and lines of business across all global regions. We pride ourselves on our collaborative approach to work, both within the Catastrophe Modelling team and with our Actuarial colleagues.

We also work closely with colleagues across the Broking teams, which span Direct, Facultative and Treaty Property; Retrocession; Marine, Energy, and other Specialty lines. Beyond this, you will have the opportunity to work on model evaluation, event response, mapping and research projects.

Role responsibilities will include:
  • Prepare client exposure data for import into catastrophe modelling software, including Moody's RMS and Verisk AIR
  • Use modelling software to generate loss results and provide effective catastrophe analysis to support business growth by identifying areas of risk and opportunity
  • Produce detailed reports for clients, presenting exposure and loss metrics, including year-on-year and inter-model comparisons
  • Engage with clients through email and meetings to communicate results, provide insights, and address queries
  • Proactively share knowledge in catastrophe-related areas, support learning initiatives, and foster collaboration within the department

Candidate Profile

We are looking for individuals who can demonstrate the following competencies:

Essential:
  • Interest in (re)insurance, and the importance of understanding and modelling the risks posed by catastrophic events to insured portfolios
  • Ability to pick up new software with an independent, problem-solving mentality
  • Comfortable use of Microsoft Office applications (Excel, PowerPoint, Word, Outlook)
  • Ability to understand clients' business needs and expectations
  • Ability to produce reports and presentation materials which clearly explain necessary detail to clients, reinsurers and other associates
  • Ability to manage workload and work to strict deadlines
  • High degree of mathematical competence

Highly valued:
  • Advanced use of Excel (complex formulae, pivot tables, large data, graphs/charts)
  • SQL or other programming experience
    Geospatial information systems (GIS) experience
  • Presentation skills, for delivery of analytics outputs to brokers and clients
  • Ability to build and maintain excellent business relationships with clients, reinsurers, and associates

This is an excellent opportunity to begin your Catastrophe Modelling career. working in a dynamic, collaborative and entrepreneurial environment. You will benefit from professional development support, and opportunities to work in a team of diverse skill-sets and expertise.

Custom section 3

Scheduled

Full Time Permanent
Job ID  4973
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