LV General Insurance have a new opportunity for a Principal Pricing Analyst to join our Home Technical Pricing team in London or Bournemouth on a hybrid basis. You will use your insurance market knowledge and pricing expertise to develop and implement optimisation strategies that enable us to deliver on our business objectives. Youll participate in the Global P&C Academy accreditation, enhancing your skills in underwriting, risk engineering, pricing, and claims management while exchanging best practices across the Allianz Group. Furthermore, for pricing-based roles, Allianz Insurance offers a generous study package to enable the actuarial qualification to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £63,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: • Assisting in planning and carrying out risk model updates – continually looking to improve data and processes • Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes • Getting hands-on with data from its source right through to modelling and then implementation in rating • Analysing data, interpret output and communicate results to a non-technical audience • Building and testing Statistical models and machine learning algorithms • Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance model. Essential Skills We dont expect you to know everything from day one, but the following will enable you to hit the ground running: • Solid knowledge of relevant statistical modelling methods – in particular GLMs • Knowledge of relevant machine learning techniques – in particular GBMs • Proven experience in working with large data sources • Good command of Python, SQL, SAS or similar coding languages • Experience of Willis Towers Watson software such as Radar or Emblem • Good understanding of the various elements of a Technical Price, including business expenses, other costs and actuarial/inflation assumptions. What We Will Offer You Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including: • Flexible buy/sell holiday options • Hybrid working • Annual performance related bonus • Contributory pension scheme • Development days • A discount up to 50% on a range of insurance products including car, home and pet • Retail discounts • Volunteering days