Job Summary:

Manage the International Reinsurance Catastrophe Modelling team in the pricing and accumulation monitoring of catastrophe exposures. Remit of role is global excluding Americas & Caribbean

Job Details:

• Manage catastrophe pricing for reinsurance in Zug and Singapore, covering Europe and Asia Pacific
• Oversight of the Probable Maximum Loss process for International Reinsurance, including the following – (i) Monthly roll-up for modelled perils (ii) Derivation of non-modelled perils (iii) Completion of reconciliation process quarterly to meet Audit requirements
• Undertake and review validation of external catastrophe models in key peril-regions within scope of role, including presentation of results to Chief Reinsurance Actuary and company management
• Manage completion of catastrophe modelling elements for regulatory returns. This will include fulfilling FINMA (Swiss regulator) requirements as required by Swiss OpCo, likewise for MAS (Singaporean regulator) in respect of Singapore branch and Lloyd's for Singapore service company
• Catastrophe event reporting – ensure the production of accurate and timely information in respect of natural catastrophe events in Europe and Asia Pacific. Communication of results to underwriting and senior management
• Modelling process – collaborate with other senior leaders of the Catastrophe Modelling group to ensure best practice as regards installation and optimisation of vendor software. Research and recommend ways in which process can be improved through in-house development or software acquisition
• Support the Chief Reinsurance Actuary as a member of the Catastrophe Modelling Management Team on matters and initiatives relating to catastrophe business eg climate change, exposure management, validation policy, selection / renewal of models, determination of peril-regions to validate

Person Specification

• 10+ years’ experience of treaty reinsurance in the field of catastrophe modelling and risk management
• Established expertise with RI products (particularly Property).
• Strong technical skills in mathematics, computer science, economics, engineering, physical science, or related field
• Strong communication skills required and comfortable working within an underwriting team sharing views on risk, strategy and market trends.
• In-depth working experience in the use of vendor catastrophe modelling software (Verisk, RMS).
• Knowledge in use of SQL for performing queries on large exposure datasets.
• Strong analytical and problem-solving skills.
• Ability to multitask, work independently to deadlines and solve problems. Must be highly organized, accurate and detail oriented.