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IQUW Property Insurance is seeking an experienced professional to support our Exposure Management Team in developing analytics for our Natural Catastrophe portfolio. This role requires expertise in catastrophe modelling and data visualization, aiming to enhance the efficiency of our underwriting teams.
The ideal candidate will contribute to robust analytics development and assist with regulatory reporting. Strong programming skills in Python and SQL are essential. We offer a dynamic work environment in Greater London.
Starr is a global insurance and investment organisation providing property and casualty insurance solutions to business and industry. Starr has grown into one of the world’s fastest‑expanding insurance organisations, writing business in 128 countries across six continents. Our talented and experienced associates manage risk and ultimately support the profitable growth of organisations in a dynamic, competitive and ever-changing marketplace. Join us and become part of our talented and passionate workforce.
The role supports the Exposure Management Team in developing best‑in‑class analytics on our Natural Catastrophe portfolio, supporting underwriting teams to make efficient use of their available capital. This will suit an analytically minded individual with an interest in catastrophe modelling, coding and data visualisation.
It is a unique opportunity to work in a rapidly evolving and fast‑growing environment, where exposure risk management and analytics are at the core of our business.
We are looking for an individual that will bring a strong level of expertise and contribute to the development of robust and innovative analytics in order to drive Starr to achieve a highly profitable and optimised portfolio.
The above duties and responsibilities are not an exhaustive list, and you may be required to undertake other reasonable duties compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements.
Starr is an equal opportunity employer, which means we will consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.