Michael Brockman BSc, FIA - Partner
Mike has over 25 years experience in actuarial aspects of general insurance and has dealt with most classes of business commonly written. He has extensive experience in personal lines insurance and is the UK’s leading expert on motor insurance.
Mike graduated from the University of Wales, Aberystwyth in 1979 where he read statistics and economics, obtaining a First Class Honours degree. After university, Mike spent 7 years working for a major UK insurance company, 5 years within their general insurance branch. In 1986, Mike then joined a leading actuarial consultancy and was instrumental in developing their personal lines practice.
He left as a partner in 1993, to become a founding partner of EMB Consultancy LLP. EMB now employs more than 140 people in the UK and has overseas branches in Germany, France, North America, India, South Korea, South Africa and Australia, and is the largest independent non-life actuarial practice in the UK.
Mike is a regular speaker at seminars and conferences, both in the UK and overseas. He has written many articles and published papers on the subject of motor insurance and other insurance related topics. He has also been instrumental in several high profile industry initiatives including the ABI / IUA sponsored UK Bodily Injury Study. He is also co-author of the influential paper Statistical Motor Rating published by the Institute of Actuaries in 1992.
Papers Published
• Brockman, Murphy & Lee (2000). Using GLMs to Build Dynamic Pricing Systems. Written by three EMB partners, this paper explains how a dynamic pricing system can be built for personal lines business, whereby profit loads and risk premiums can be tailored to the individual behavioural characteristics of the customer.
• Brockman & Wright (1992). Use of GLMs in Statistical Motor Rating. The paper gives details of statistical modelling techniques which can be used to estimate risk and office premiums from past claims data. The methods described allow premiums to be estimated for any combination of rating factors, and produce standard errors of the risk premium.
