Please make an application promptly if you are a good match for this role due to high levels of interest. Locations : We have offices based in Manchester, Stoke, London and Peterborough. Role Overview We are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate xrexnqw methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written
