Exposure Management / Catastrophe Lead & Analyst

Our client a large well known insurance company based in the city, are currently actively looking to hire two Exposure Management Contractors, 1 Lead & 1 Analyst to join a busy Exposure/Catastrophe Team.

Job Title: Exposure Management Lead & Analyst

Location: London - Hybrid working 2 days a week in the Office

Duration: 9 Months

Day Rate: Negotiable - Inside IR35 (via Umbrella Company)

The Exposure Management team are responsible for the management and assessment of our exposures and leading on reinsurance issues for the UK's largest Commercial Property Insurer. This includes understanding our exposures to catastrophe events across the world and developing our capability for new and emerging risks such as Cyber to drive action and insight to inform our underwriting strategies.

Duties & Responsibilities:

• Reviewing and modelling exposure data using 3rd party and proprietary catastrophe models and tools
• Working closely with the underwriters to interpret cat model-based analysis for risk selection for global exposures in UKGI
• Supporting the development of our exposure management techniques for non-modelled perils/territories
• Supporting the data roll-up process and associated reporting requirements for the Commercial division, including monitoring against internal and external limits
• Prepare regulatory returns on an adhoc basis
• Carrying out data quality analytics and working with underwriters to improve the completeness, resolution and appropriateness of key data inputs
• Assisting in the data capture and monitoring of exposures for non-property lines of business

Skills & Experience

• Strong understanding of key mathematical and statistical concepts, and ability to communicate them to a non-technical audience
• Attention to detail with an inquisitive, analytical mind-set - a passion for pulling things apart and understanding both how they work and how they get used
• Good written and oral communication skills
• Ability to check quality of own work
• Strong problem-solving skills
• Analytical and research skills
• Ability to prioritise tasks
• Experience in managing large datasets desirable