The following is a list of CMSIG Insurance Markets Subgroup members
Please update the page if you are a member, note your interests and other details if you would like to be discovered by fellow members or others to collaborate on Insurance Markets related topics.
# | Name | Association | Contact | Details & Interests |
|---|---|---|---|---|
| 1 | Kirthi K | Civitas Fintech | kirthi@civitasfintech.com | Transitioned from Management Consulting to Blockchain Solutions Architecture. 18 year of Business Transformation & IT Change experience in Asset Management and Insurance. A Data buff with special interests in Interoperability, Common Data/Domain Model, ML, Digital Sovereign Identity and Asset backed securities digitisation. |
| 2 | garyburke | Rabbits From Hats | gary.burke@rabbitsfromhats.co.uk | Business transformation consultant, 25 years insurance experience, strategy, op models, transformation programme definition and management, UW, PAS, claims, digital. Interested in how the innovative use of technology and thinking can move the industry forwards. |
| 3 | garynuttall | Distlytics | gnuttall@distlytics.com | Multi-industry commercial experience, primarily in data, analytics and business intelligence. Formerly Head of Business Intelligence for Lloyd's of London Syndicate. Have run multiple DLT proof of concepts in commercial insurance sector and been an advisor to several blockchain-based insurtech startups. Active supporter of blockchain/distributed ledger technology providing consultancy and education since 2016. |
| 4 | Paul Rich | MOTOSI Consulting | paulrich@motosiconsulting.com | Consultant to the London Insurance Market, delivering advisory services around strategic operational engagement and best practice outcomes across a variety of capacity distribution models. |
| 5 | Marisa Murton | Solvlab | marisa@solvlab.com | Data scientist with strong leadership and communication skills. Having spent over two decades at the UK's largest Insurer, I am now enjoying putting my skills to use in organisations and industries where data analytics has not been so widespread. |
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