Risk Pricing Analyst - Motor

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Policy Expert - Motor Risk Pricing Analyst 🚀Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we've won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK's No.1-rated home insurer by Review Centre since 2013. 🏆 About the pricing team: As one of the fastest growing Insurers in the UK, you will enjoy a fast-paced environment and thrive in a forward-thinking culture. You will be part of a team utilizing advance analytics and machine learning techniques applied in pricing structures. You will be working in collaboration with the data engineering team and the quote engine team to support the bespoke pricing algorithms. Your day to day: The Motor Risk Pricing Analyst is responsible for aiding the development and maintenance of risk pricing models and frameworks to support the delivery of profitable and competitive pricing strategies. Collaborating with Underwriting, Insurance Risk and Financial Planning and Analysis teams, this role plays a critical part in ensuring the accuracy and efficiency of risk-based pricing initiatives. Primary Responsibilities Risk pricing: Develop and maintain robust risk models, underwriting overlays, and expense layers to ensure pricing accuracy and operational efficiency. Insights & Recommendations: Provide analytical insights and recommendations to inform pricing decisions and strategies. Risk model updates: Implement ad-hoc risk model changes driven by internal initiatives. Model performance monitoring: Track the performance of the models produced by the team (actuals vs predictions). Propose suggestions for models that are showing drift. Continuous improvement & Innovation: Support the identification and implementation of opportunities to enhance model sophistication, including data integration and process improvements. Who are you: Degree in numerically based discipline e.g., Maths, Data, Statistics, Engineering Data modelling techniques 1+ years in pricing or analytical roles, in the insurance sector. Strong understanding of risk modelling, underwriting principles, and expense allocation. Proven ability to deliver projects within tight timelines. Proficiency in data modelling techniques and pricing tools; familiarity with machine learning applications is a plus. Strong problem-solving, stakeholder management, and communication skills.

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