Are you passionate about leveraging data and cutting-edge technology to assess and manage catastrophic risks? A position has become available for a talented Catastrophe Modeller to play a pivotal role within a growing insurance n based in London. The successful candidate will utilize industry-leading modeling software and in-house tools to analyze property portfolios, provide vital insights to clients and reinsurers, and help shape the future of catastrophe risk management. This opportunity offers a chance for a meticulous and innovative analyst eager to contribute to a forward-thinking organization and make a tangible impact.
Required Skills:
* Strong technical proficiency with catastrophe models such as RMS RiskModeller, RMS Risklink, AIR Touchstone, and Spatial Key.
* Advanced knowledge of SQL and Excel for data manipulation and analysis.
* Proficiency in GIS and Python programming.
* Excellent communication and presentation skills.
* Ability to interpret complex data and translate client needs into practical solutions.
Nice to Have Skills:
* Experience working with insurance or reinsurance portfolios.
* Familiarity with the latest developments in catastrophe modeling technology.
* Technical coaching or training experience.
Preferred Education and Experience:
* Degree in Actuarial Science, Mathematics, Statistics, Engineering, or a related field.
* Prior experience in catastrophe modeling, risk analysis, or insurance analytics is highly desirable.
* Demonstrated ability to manage multiple tasks with meticulous attention to detail.
Other Requirements:
* Ability to work within a team environment and report to leadership.
* Willingness to stay updated on industry trends and technological advancements.
* Ability to travel occasionally for client meetings or industry events if necessary.
Eager to shape the future of catastrophe risk assessment? Applications are now being accepted for this role, offering an opportunity to become a key player in an innovative team, helping to deliver real value to clients and stakeholders.