Job Title: Pricing AnalystLocations: Haywards Heath or Manchester (Hybrid working)Role overview:Markerstudy Group are looking for a Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b.  The majority of business is written as the insurance pricing provider behind household names such as Co-op, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few and Markerstudy also has a large and growing direct presence in the market as well.Having acquired and successfully integrated Co-op Insurance Services in 2021 & BGLi in 2022, Markerstudy are now pursuing innovative pricing techniques, taking advantage of an award winning insurer hosted rating platform, whilst challenging existing embedded processes.As a Pricing Analyst, you will use your analytical skills to:Support pricing teams in building and maintain sophisticated models via a range of data science techniquesMonitor pricing performance via automated reporting structuresEnable growth within Motor & Home portfoliosWorking with the technical pricing team and closely with underwriting, retail pricing & data science teams, your insight and recommendations will enable improvements to products and prices giving Markerstudy a critical advantage in the increasingly competitive insurance marketKey Responsibilities:Support development of advanced pricing models using a combination of traditional & data science techniques across Private Car, Commercial Vehicle & Home accountsAdvance the adoption of data science & statistical techniques across pricing & underwritingCommunicate results to key decision makers across the business for action based on the results of pricing analysisReview observed & expected performance of key accountsCollaborate with peers in pricing, underwriting and data scienceFacilitate automation of repeatable tasksUsing specialist software to monitor trends and review impact of pricing proposalsKey Skills and Experience:Previous 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)Experience of WTW’s Radar software is preferred, but not essentialProficient at communicating results in a concise manner both verbally and writtenAbility to analyse, understand and interpret data from varying sourcesBehaviours:Self-motivated with a drive to learn and developLogical thinker with a professional and positive attitudePassion to innovate, improve processes and challenge the normPersonality and a sense of humour