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Sellick Partnership
,
London, Greater London
Pricing Analyst
Overview
An opportunity has arisen for a Pricing Analyst to join an exciting Insurtech startups active in the UK market today. Our London based client, who are rapidly expanding their Pricing capabilities, are looking to recruit an experienced Pricing Analyst with an excellent understanding of Personal Lines products. This is a unique opportunity for an experienced general insurance professional to shape the direction of a truly unique organisation. The successful Pricing Analyst would be using Data Science tools such as Python to utilise the extensive Data they have on hand, employ Machine Learning techniques to create new, innovative Pricing methods and conduct extensive Data Analysis. The ideal candidate would have a strong background of Personal Lines Pricing, a demonstrable interest in Machine Learning techniques, hands on experience of using RADAR and Emblem and a degree in a highly numerate subject such Mathematics is preferable. There is a highly competitive salary on offer along with a generous benefits package. If this opportunity sounds like it could be of interest, please apply with your CV below or contact Matthew Jellicoe on 01512241480. Sellick Partnership is a market-leading professional services recruitment specialist operating across the UK. Over the years we have built up an enviable relationship with employers and our expert team of consultants boast up-to-date market knowledge and a strong reputation making Sellick Partnership best placed to help you. Sellick Partnership is proud to be an equal opportunities employer. Please note our advertisements use years' experience and salary levels purely as a guide. We are happy to consider applications from all candidates who are able to demonstrate the skills necessary to fulfil the role. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice which can be found in the footer on our website. This job was originally posted as www.totaljobs.com/job/89789767