How youll make an impact - Play a key role in growing the Exposure Analytics and Catastrophe Modelling function within Gallagher Specialty which will involve taking responsibility for delivering Exposure Analytics Catastrophe Modelling reports (both Moody s RMS and AIR) for the various business units we work with - Performing Schedule of Values (SOV) data cleansing and scrubbing where required - Help create new opportunities for the business through the expansion of client and carrier analytics - Perform quality control checks on all policies entered the Catastrophe Models across multiple lines of business to ensure data accuracy - Ensure any errors found are rectified and correct before delivery of analytics to stakeholders - Ensure standard operating procedures and minimum data quality standards are adhered to - Ensure internal and external KPI s and SLAs are met - Develop new initiatives in this exciting and fast-growing area of the business.
Responsibilities
- Performing Schedule of Values (SOV) data cleansing and scrubbing where required
- Help create new opportunities for the business through the expansion of client and carrier analytics
- Perform quality control checks on all policies entered the Catastrophe Models across multiple lines of business to ensure data accuracy
- Ensure any errors found are rectified and correct before delivery of analytics to stakeholders
- Ensure standard operating procedures and minimum data quality standards are adhered to
- Ensure internal and external KPI s and SLAs are met
- Develop new initiatives in this exciting and quick-growing area of the business
- 10+ years previous Catastrophe Modelling experience gained at either an Insurer or Broker
- Experience should include Property Catastrophe Modelling ideally using RMS Risk Modeler or Risk Link
- Knowledge of LMP slips the Lloyds and London Insurance Market
- Experience using Catastrophe Models, in particular RMS Risklink / Risk Modeler
- Good knowledge of Moody s RMS and Verisk AIR data cleansing coding best practices including when using HD models
- Good technical understanding of data enrichment, manipulation and data cleansing best practices
- Ability to work quickly and precisely with large data sets
- A keen interest in data and Natural Catastrophes
- Self-Motivated
- Good communication and presentation skills
- Proactive in finding solutions to problems without waiting to be prompted by others
- Good MS office skills particularly Microsoft Excel and ideally Power BI
- Knowledge of GIS software such as Arc GIS
- Advanced SQL coding knowledge is essential for this role
- Python or R programming knowledge is desirable but not essential
Qualifications
- Educated to degree level in a subject such as Mathematics, Statistics, Geography, Engineering or Meteorology
- Professional qualifications such as a DIP CII or ACII or a desire to take them
- CCRA qualification is desirable but not essential
Skills
- Advanced SQL coding knowledge
- Python or R programming knowledge
- Microsoft Excel
- Power BI
- Arc GIS
- Data cleansing
- Data enrichment
- RMS Risklink / Risk Modeler
- Moody s RMS and Verisk AIR data cleansing best practices
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