Manage rate changes and implementation of new models and pricing algorithms. Manage the build process for predictive models using SAS, RADAR, EMBLEM, and other software packages. Help to shape the direction of the product with a forward-looking approach and willingness to experiment. Consider the impact on customers of pricing actions and act to avoid any unfair treatment. Proven history of mathematical research (either in academia or in industry). Play a key role in the production of suitable pricing performance monitoring. Experience:
Possess an understanding of the full insurance pricing process and a range of statistical techniques for modelling. Proven history of mathematical research (either in academia or in industry). Experience in SQL, Python or is desirable. Python is preferred as you’ll be using this on a regular basis. Highly analytical with demonstrable previous experience within insurance pricing. Ability to demonstrate high levels of problem-solving skills and initiative. Attention to detail, accuracy, and confidentiality. Ability to plan and prioritise own work. Location:
Hybrid Please note, our client is unable to offer sponsorship for this opportunity. If you are not contacted within five working days of submitting your application, unfortunately, you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suited to your skills. Seniority level:
Mid-Senior level Employment type:
Full-time Job function:
Analyst, Project Management, and Finance Industries:
Insurance
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