LV General Insurance have a new opportunity for a Principal Pricing Analyst to join our Motor Technical Pricing team in London on a hybrid basis. You’ll be working with the wider Pricing team and Data Science team to develop and implement best practices. Youll deliver project work and analysis to agreed business timescales, influence and interpret project requirements from Pricing meetings and document important decisions and challenges from the senior stakeholders. In addition to this you will build and maintain relationships with teams involved in the Pricing end-to-end delivery process and across the company. 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 As the Principal Pricing Analyst, you will be responsible for: • 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, interpreting output and communicating results to a non-technical audience. • Building and testing Statistical models and machine learning algorithms. • Assisting in coaching and developing other colleagues within the team to ensure constant up-skilling. 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 Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages. • Experience of Willis Towers Watson software such as Radar and Emblem. • Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts to a non-technical audience 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