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Your responsibilities for this role may include but are not limited to:
Perform model validation and provide recommendations on model use and/or required adjustments.
Work with internal teams and external data providers on analysis utilizing available data including scientific information claims and insured exposure.
Contribute to and lead Group projects as required liaising with other teams globally
Produce customized reports on exposure and modelled results.
Evaluate re/insurance pricing for individual accounts and product classes.
Analyze catastrophe reinsurance structures and strategies to support reinsurance placements.
Assist with the analysis of real time events and identify learnings from post-event reviews. You will need to be able to display you have the following qualifications and experience
Postgraduate/Undergraduate degree preferably in a quantitative scientific or environmental discipline
Strong analytical and numerical ability in order to interrogate large datasets
Experience of working with re/insurance catastrophe data and/or catastrophe modelling software
Excellent written and verbal communication skills and the ability to explain technical concepts clearly
Pro-active attitude to identifying inefficient processes and developing improvements
Desirable Requirements
Knowledge of commercial insurance and/or the catastrophe modelling industry
Sound working knowledge of RMS/AIR and any other vendor modelling platforms
Coding experience in a relevant language (e.g. SQL VBA R C#)
Experience in using mapping software (e.g. GIS)
Qualifications :
Degree in Mathematics Applied Mathematics Statistics Engineering or Actuarial Science
Remote Work :
No
Employment Type :
Full-time
Full-time