Job Description

Job Overview:

Understand the basics and principles of cat modelling and outputs (exposure, hazard, geocoding, vulnerability, financial model) Know how to use one or more than one cat modelling software (RMS, AIR, IF etc.) + Run and analyze QBE exposures on different modelling software like Risk Modeler, AIR Touchstone, ELEMENTS as per model validation project needs and business.
+ Understand different model profile settings and run sensitivity tests as per needs, extract and report results
Understand Client exposure and view of risk, enabling better decision making, get familiarized with in-house tools

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

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Degree in Mathematics, Applied Mathematics, Statistics, Engineering, or Actuarial Science

Job Location

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