Technical Pricing Manager

Job Description If you are considering sending an application, make sure to hit the apply button below after reading through the entire description. Job Title: Technical Pricing Manager Location: A large potion of the team are based in Peterborough, however we are happy to have a largely remote working approach to this, with the occasional travel should you not be local. Role purpose We are looking for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage, mentor and coach more junior members of the team About you: Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject Experience xbpsjku in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills