Past Meetup

Data Science in the Insurance Industry at QBE

This Meetup is past

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Details

Join Data Science Festival - London for our 'Data Science in the Insurance Industry' event, in partnership with QBE.

Due to the popularity of Data Science Festival events we are now allocating event tickets via a random ballot.

Please register for a ballot ticket here: https://www.eventbrite.co.uk/e/ballot-ticket-data-science-in-the-insurance-industry-tickets-30850500678

Registering enters you into the ticket ballot, the ballot will be drawn on Wednesday 11th January at midday. Those randomly selected will then be e-mailed tickets for the event, along with the address and joining details.

REGISTERING ON MEETUP.COM DOES NOT GUARANTEE YOU A PLACE AT THIS EVENT.

SCHEDULE

6.00pm doors open
6.30 - 7:15pm - Talk - James Poynter
7:15 - 7:45pm - Beer & Pizza
7:45 - 8.30pm - Talk - Ansgar Wensal
8:30 - 9:00pm - Beer & Close

James Poynter: An Introduction to Specialist Insurance, The Next Frontier for Data Science

Summary: The London Insurance Market is the world’s leading hub for specialist insurance, a place where underwriters and brokers make markets for and trade new, complex, and large risks. This talk will give: an overview of the multi-billion dollar market, discuss the complexity of offshore energy risk, and the exciting potential applications of data science techniques within the specialist insurance sector.

Bio: James has worked as analyst within QBE’s Oil and Gas underwriting team for the past five years; He has a keen interest in data science and analytics, and is currently working with QBE’s Head of Data Science on a number of projects. He is also a member of Sequel’s innovation council, advising product innovations for their Impact exposure management product. He holds a BSc in Chemistry, and MA in business management.

Ansgar Wensal: Challenges & Opportunities with Data Science in Insurance (Moving Actuaries into the 21st Century)

Summary: Technology is changing and although actuaries used some data science techniques fairly early (GLMs for example), with the increased use and development of Data Science/Machine Learning insurance companies must change, too. We will be talking about some of our current challenges, some future changes and about the necessary shift in mindset that is necessary to use data science in insurance successfully.

Bio: After finishing his PhD in Pure Maths, Ansgar started working at Hastings Direct as a Data Scientist in their actuarial team and has been trying to move Actuaries away from GLMs and Emblem ever since. He prefers R, grudgingly admits the superiority of python for working with csv files and consequently tries to use SQL as much as possible. He has also worked, amongst others, for a small startup in London as an Analyst where he tried to make sense of electricity usage time series.