Senior Pricing Analyst - Modelling

Job Title: Senior Pricing Analyst - Modelling Locations: Manchester (flexible) Role Overview This role is for Atlanta Group, part of the Markerstudy Group. Atlanta / Markerstudy Group are looking for a Senior Pricing Analyst (Modelling) to join a growing and established team. You will be responsible for utilising your technical expertise and in-depth knowledge of the insurance industry and market leading tools to produce creative and actionable pricing solutions. This is to maximise Atlanta’s ability to meet its strategy and annual plan but should also influence that strategy through regular identification of opportunities to Pricing Managers, Head of Pricing and the Executive Committee. This role requires a large element of coaching team members and championing modelling best practices across the department. As a Senior Pricing Analyst - Modelling, you will use your advanced analytical skills to: Provide technical leadership on WTW toolkit (in particular Emblem and Radar) to drive forward effective and efficient solutions which deliver business requirements and add demonstrable value Provide thought leadership on modelling concepts Lead and manage the development of effective and efficient solutions which deliver business requirements and add demonstrable value Ensure that all team members follow quality assurance processes and manage risk adhering to all relevant policies Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Plan, design and lead the development of Atlanta's pricing capability. Through ongoing research, maintain an extensive knowledge of statistical techniques to ensure Atlanta has a market leading approach to analysis and modelling. Assist Pricing Managers in making tactical and strategic decisions. Deputise for Pricing Managers, Head of Pricing 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 good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Proven experience of modelling using WTW toolkit (Emblem and Radar) Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate, improve processes and challenge the norm Personality and a sense of humour