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DTSTART:19960101T000000 END:STANDARD BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 DTSTART:19961027T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260524T144843Z DTSTART;VALUE=DATE-TIME:20250312T143000 DTEND;VALUE=DATE-TIME:20250312T153000 SUMMARY:Daria Mervis (Moody’s RMS\, London) "Modeling the Unthinkable: Ca reers at the Intersection of Physics and Insurance" TZID:Europe/London UID:20250312-8ac672c69439c86d01943bec0a952f1e@warwick.ac.uk CREATED:20250306T132826Z DESCRIPTION:Abstract: In today’s increasingly complex and interconnected world\, the insurance industry plays a vital role in the global economy. In 2024\, insured losses from natural disasters reached approximately $ 140 billion—one of the costliest years since 1980. Hurricane Milton alon e accounted for $25 billion in losses\, the LA wildfires are projected a t $40 billion\, and floods in Spain at $4.2 billion. To manage and mitig ate these risks\, insurers rely on advanced probabilistic models to asse ss losses from natural disasters\, cyberattacks\, and other emerging thr eats. As risks grow more unpredictable\, effective risk selection\, pric ing\, and management demand deeper insights. How are these models create d? There are four components: exposure\, hazard\, vulnerability and fina ncial model. Exposure is the location\, risk profile and characteristics of the insured entity\, e.g. a residential home in Florida. Hazard is t he type of disaster we are looking to model\, e.g. hurricane\, earthquak e etc and the relevant characteristics such as wind speed\, distance to max wind etc. Vulnerability is the damage profile of the insured entity\ , generating a damage ratio. Lastly the financial model overlays the ins ured tranches for the entity and calculates the financial loss. The outp ut of these models is used across the insurance and reinsurance industri es to understand their risk profile and guide decision making. The Moody ’s RMS suite of high-definition models delivers a more accurate represen tation of potential losses\, transforming risk management and decision-m aking. By combining cutting-edge science\, data\, technology\, and exper tise\, we empower insurers\, reinsurers\, and brokers to tackle their mo st complex challenges—helping close the insurance gap and drive performa nce. -------- Daria graduated with a Master degree in Physics from Imper ial College London in 2009\, at the height of the global financial crisi s. Embracing the atmosphere of panic\, she pursued a career centred on r isk and catastrophe in the insurance industry\, specialising in natural disaster modelling. Over the years\, she has applied her expertise acros s diverse sectors\, from advising investment banks on strategy to shapin g a no-nicotine business plan for Philip Morris International. Now\, she has come full circle\, returning to Moody’s RMS\, the world’s leading p rovider of risk models for the insurance industry. ---------- LOCATION: CATEGORIES:Departmental Colloquium LAST-MODIFIED:20250306T132826Z ORGANIZER;CN=Valery Nakariakov: END:VEVENT END:VCALENDAR