Sign in

Founders

Insurance DataLab has been co-founded by Matt Scott and Dan King.

Matt is an award-winning journalist who started his career as an Actuarial Associate Consultant at Aon where he studied towards the professional exams of the Institute and Faculty of Actuaries and completed an MSc in Actuarial Finance at Imperial College Business School.

As Insight Editor of Insurance Times, Matt reported widely on the UK general insurance market, focusing particularly on the financial and regulatory landscape. He has authored many well-respected research publications including the annual Insurance Times Top 50 Insurers and Top 50 Brokers reports, and spoken at a number of industry events on topics including motor insurance, regulation, cyber insurance, customer service, and financial performance. Matt has also written for a variety of other business information providers including a term as Editor of the magazine of the Chartered Management Institute.

Dan has led several business-to-business media brands with extensive insurance industry experience. As publisher of Insurance Times Dan developed a number of highly successful research products based on broker opinion. He also worked closely with insurance providers at consumer group Fairer Finance, as Publishing Director of both StrategicRISK and Global Reinsurance, and, earlier in his career, as a senior member of the team that launched Health Insurance magazine.

At Insurance DataLab, Dan and Matt help companies to make better, faster, and more informed decisions by improving their understanding of how the insurance market is performing. 

Contact us

Phone

+44 (0)20 3488 8200

Get updates

Sign up to receive insight and analysis in our free monthly newsletter.
Register here
© Insurance DataLab 2022. Insurance DataLab is owned and operated by MAD Financial Media Limited, registered in England and Wales under company number 12418752.
linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram