The Pricing Analytics team is part of the Global Pricing department at Allianz Commercial and is responsible for driving the use of Predictive Analytics within Pricing across Allianz Commercial globally. You will join an international department located across London, Munich, Bucharest, Chicago and New York. The Impact You Will Have Our global Pricing Analytics team is seeking a Predictive Modeller to build strong data driven pricing models for all Lines of Business across Allianz Commercial. This person will need to collaborate internationally with various stakeholders, both within Global Pricing and across other Allianz Commercial functions. Furthermore, this individual will support strategic Allianz Commercial projects, such as developing and driving data driven approaches to portfolio management. Some of your specific responsibilities could include: • Build predictive pricing models across a variety of business lines at Allianz Commercial • Present and communicate modelling results and recommendations to internal stakeholders • Help to improve the overall technical analytics capabilities of the Pricing Analytics team • Develop an expert knowledge of the company’s data and data systems • Work as part of a project team to drive forward the development of models What You’ll Bring to the Role • Advanced degree in a quantitative field desirable, preferably with significant emphasis on statistical modelling or machine learning, e. g. Statistics, Data Science, Machine Learning, Computer Science, or a related field • Nearly/Qualified P&C Actuary preferable • Experience in building and implementing predictive models in the insurance industry, preferably for P&C commercial lines. • Strong knowledge of P&C insurance and pricing techniques. • Hands-on understanding of a wide range of classical and modern statistical and machine learning methods such as GLMs, decision trees, ensemble, and regularization techniques etc. Experience with Bayesian approaches desirable • Experience building and validating models using statistical software (Python, R, Emblem, SAS etc.) • Ability to work efficiently and effectively with large data sets from a variety of sources, including both internal and external data. • Strong SQL programming skills required • Experience with version control tools such as GIT desirable • Demonstrated ability to effectively interpret data and modelling results, and to then communicate them to audiences with differing levels of technical understanding • Ability to express ideas and messages clearly, both written and verbally • Organised, self-motivated, results-oriented, collaborative and very resourceful • Experience in an international working environment. Experience of working with colleagues located in different countries an advantage