Average Pricing Analyst salary in Cardiff

Do you have experience on motor or travel insurance with strong data analysis skills? Our client, a dynamic and growing international insurance services company, is looking for a Pricing Analyst to join their friendly and collaborative team based in Cardiff.Responsibilities include:Analyse competitive position, customer behaviour, claims, and profitability to inform pricing recommendationsBuild and maintain models to assess pricing performance and overall profitabilityDesign and evaluate tests to compare the effectiveness of pricing structuresMonitor and assess competitor pricing activityReview and provide feedback on team models and proposalsSupport pricing meetings and prepare materials for management and governance forumsCollaborate across the business to support projects and initiativesA varied role with the opportunity to make a tangible impact across the businessAbout you:Strong data analysis skills to support decision making, including identifying and explaining trendsExperience using analytical tools such as Snowflake, Python, R, and Power BIExcellent communicator, able to present complex insights to technical and non-technical audiencesCreative and proactive problem solver, able to work independently and meet deadlinesUnderstanding of stakeholder needs, with preferred experience in the insurance industry (motor or travel)Why apply?You’ll be joining an innovative, customer-focused company that’s passionate about its people and continuous improvement. The business promotes a hybrid working model, encourages professional growth, and offers genuine opportunities to influence and shape processes.If this sounds like you, please apply today!

Are you a talented data scientist or pricing analyst, looking for your next career opportunity within a boutique, data-focused provider of GI insurance services?Then look no further!Star Actuarial is currently representing an exciting chance to develop and maintain statistical models to analyse pricing performance and total profitability.Monitoring and analysing competitive position, customer behaviour, claims performance and profitability, you will feed findings into recommendations for rating action and changes to pricing structures.In addition, you will establish and evaluate tests to assess the relative performance of competing pricing structures while analysing and monitoring competitor pricing activity.With the ability to analyse data to support decision-making, the successful candidate will be able to identify, investigate and explain data trends.Previous experience using analytical software and tools (e.g. Snowflake, Python, R, Power BI) also required.Previous experience in the insurance industry (car/travel) is preferred.Get in touch now for more information.

Morgan McKinley is partnering with a leading Financial Services business based in Cardiff, to recruit a Senior Portfolio & Pricing Manager. The Role My client is going through an exciting period of growth and transformation, and this role will focus on developing and improving my client's understanding of customer behaviour and profitability analytics, and will require you to lead on financial modelling to support long-range planning and scenario-based decision-making. Leading a small team, the role will also require you to provide commercial insight and modelling expertise to inform and challenge product participation and pricing strategies, and will support new product launches and pricing changes. From a stakeholder management perspective you will interact closely and deliver projects in collaboration with the Balance Sheet Management team and Product Managers. The Candidate The successful candidate must be comfortable building new models and possess a data-focused/statistical background, along with experience working in a Pricing, Modelling or Analytics function within Financial Services. The models are largely Excel based, but SQL experience will also be key, and experience of Power BI a definite advantage. You will ideally be comfortable working quite independently at times and delivery / outcome focused, and you will be required to be in the office 2 or 3 days a week. This is a very commercial role where you can use advanced analytics and data-driven approaches to drive decision-making and gain deep insights into customer behaviour, and a role where you can really have an impact!