At a Glance
- Tasks: Develop analytics for Natural Catastrophe portfolio and communicate insights across the business.
- Company: IQUW Property Insurance, a leader in innovative insurance solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a forward-thinking company committed to innovation.
- Why this job: Join a dynamic team and make a real impact in catastrophe analytics.
- Qualifications: Experience in catastrophe modelling, strong analytical skills, and programming knowledge in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
IQUW Property Insurance is seeking a skilled individual to support the Exposure Management Team in developing analytics on the Natural Catastrophe portfolio. This role involves ensuring that Property catastrophe exposure is well understood and effectively communicated across the business.
The ideal candidate will have strong experience in catastrophe modelling, analytical skills, and programming knowledge, particularly in Python and SQL. A commitment to innovative analytics will help drive the company's success.
Senior Catastrophe Analytics & Exposure Lead in London employer: IQUW Property Insurance
IQUW Property Insurance is an excellent employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about catastrophe analytics. Located in a dynamic environment, employees benefit from ongoing growth opportunities, a supportive team atmosphere, and the chance to contribute to meaningful projects that shape the future of property insurance. With a commitment to professional development and cutting-edge analytics, IQUW offers a rewarding career path for those looking to make a significant impact in the industry.
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We think this is how you could land Senior Catastrophe Analytics & Exposure Lead in London
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We think you need these skills to ace Senior Catastrophe Analytics & Exposure Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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