The position is to join the UK team within the EMEA North East (Netherlands, Nordic, Germany-Austria-Switzerland, Central & Eastern Europe, and Turkey) catastrophe analytics team.
The Catastrophe Analytics team, embedded into the broking unit, assists clients in analysing the risk to their business from all aspects of natural perils and catastrophes. Clients include insurance companies, reinsurers and governments.
We are looking for an analyst to become part of the core renewal modelling on EMEA N/E-wide accounts based in London. The role will also incorporate year round client engagement on topics such as model interpretation, portfolio management and non-modelled risk assessment. Along with the commercial team and Catastrophe Analytics lead, the individual will also assist in our Catastrophe Analytics services, assessing needed research and development as well as promoting these services to our clients.
Your Catastrophe analytics background would ideally be at an Underwriting Syndicate, Broking or Model Development Company and you will be able to demonstrate an in-depth understanding of catastrophe modelling and how this relates to business decisions. In addition, you should have sound presentation skills including the ability to effectively communicate technical detail to clients who do not necessarily have the same level of technical knowledge of the subject. You must also possess excellent teamwork skills and be able to co-ordinate projects.
The successful candidate will be a highly motivated individual, with a proven track record in the insurance market and proven experience in catastrophe risk analysis.
Operation of catastrophe modelling software (RMS and AIR)
Oversight and knowledge of data auditing & cleaning
Report preparation and presentation
Understanding of financial modelling software
Interpretation of model outputs
Synthesis, presentation and explanation of catastrophe model results to clients
Developing innovative analytics solutions and service offering to quantify catastrophe risk and support business requirements
Degree in numerate or hazard related subject, ideally Applied Maths, Statistics or Engineering, Computer Science or relevant scientific subject such as Physics, Seismology, Atmospheric Science, Geo-Sciences.
Track record in London/global insurance markets
Excellent working knowledge of at least one vendor model (i.e. RMS, AIR, EQE)
Strong Problem Solving skills and keen attention to detail
Excellent IT skills, ideally with computer programming skills (e.g. VBA, R, python)
Knowledgeable about reinsurance
Demonstrated working knowledge of SQL
Knowledge of probability theory advantageous
Comfortable dealing with brokers and underwriters
Excellent communication skills
Ability to work under pressure and demonstrated ability to multi-task and prioritise project work
Ability to process and understand data quickly and creatively
Proven ability to integrate into a time critical business environment and meet challenging time lines
The ability to work in a team and autonomously and highly motivated to learn and grow within a global market leader.
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