Chief Actuary Joins Earnix Advisory Board
LONDON, July 10, 2007 – Chief Actuary Graham Masters has joined Earnix’s advisory board. Mr. Masters will provide Earnix with strategic insight into the future of general insurance pricing, and will contribute his rich experience to help guide Earnix’s product roadmap.
Mr. Masters served as former Head of Pricing for the Winterthur Insurance Group, now part of the AXA Group. In this capacity he was responsible for formulating the group’s pricing policies and vision, adopting innovative technology solutions, formulating the group’s best practices and implementing them in the group’s various non-life subsidiaries worldwide.
Prior to Winterthur, Mr. Masters was head of Pricing for Schemes and Corporate Partnerships at Norwich Union, where he took an important role following the merger between Norwich Union and CGU, including the creation of a single database and the forging of a single corporate culture. Mr. Masters also played a major role following Norwich Union’s acquisition of the London and Edinburgh Insurance Company, where he was responsible for all aspects of the Personal Lines Business.
“Mr. Masters’ vision and deep industry insight are a major asset to us and our customers, and will provide key input as we develop tomorrow’s business optimization solutions”, said David Schapiro, Earnix’s CEO. “As former head of pricing for a global insurance company, Graham brings with him the executive perspective on insurance pricing management in a global business environment affected by multiple regional considerations. We very much look forward to sharing his insights”.
“Earnix is a rare combination of innovation and professionalism in the field of insurance pricing”, said Mr. Masters. “This is an opportunity to stand at the very cutting edge of pricing innovation, and I find that extremely stimulating”.
Earnix provides an advanced analytics platform designed for the financial services industry, which integrates real-time decision-making capabilities into the business process, delivering significant results.
Earnix’s modeling, algorithms, and Machine Learning capabilities automate the rapid deployment of customer-centric offers by considering variables such as price, product features, and distribution channels, to optimize KPIs such as revenue, profit, sales volume, and customer satisfaction.
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