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About This Event
This webinar is 90 minutes.
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This webinar is complimentary to non-North American audiences in the CAS.
Stories have been around as long as humanity, yet many actuaries shy away from the narrative form. Why? Are we convinced that there is nothing dramatic about a reserve study? Can an actuary not play the hero?
Join us on our epic quest from ancient times to the present day, as we explore how monsters, magic and mystery can transform the way you communicate the outcomes and implications of your work.
This webinar is complimentary to non-North American audiences who are part of the CAS and the CIA.
The webinar will be conducted over GotoWebinar. The link to enter the webinar will be sent two hours prior to the webinar taking place. Please make sure to test your system.
Note: Registration form is best viewed in Internet Explorer.
When registering for this event online, please select your reg type to see the event fees available.
Brian Fannin has been an actuary for over 20 years. The data lack sufficient credibility for him to give a more precise estimate. Brian has been an Associate of the CAS since 2002 and a Certified Specialist in Predictive Analytics (CSPA) since 2017. He has worked in a variety of roles in commercial insurance, both primary and excess, here in the US as well as Europe, London and Asia. An early proponent of R, he has taught various workshops and seminars for the CAS, Actex and insurance clients. He joined the staff of the CAS in March of 2018 as Research Actuary. His focus is to enable CAS committees and research partners to work efficiently in developing relevant, practical content.
Dana Mark is co-founder of the CARVA (Casualty Actuaries of RVA) professional organization and data enthusiast, recently earning a master’s degree in data science. She has worked at Allianz Partners for nearly a decade in a variety of actuarial and underwriting positions and currently leads a global function focused on travel insurance profitability analytics. Dana is a strong advocate of democratizing data through use of open source coding and data visualization and always enjoys opportunities to exchange ideas on the topics.
