The Global Pricing team is committed to driving the development of pricing sophistication to achieve technical excellence at Allianz Commercial. This includes rolling out predictive models to enhance pricing accuracy and insights. Your 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 an experienced Predictive Modeller to both build and support other team members in developing 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 modeling results and recommendations effectively to internal stakeholders, ensuring clarity and actionable insights. • Contribute to the improvement of the Predictive Analytics teams technical capabilities by sharing knowledge and introducing innovative methodologies. • Drive the use of analytics to steer portfolios within Allianz Commercial by developing new approaches and successfully selling them to the business • Develop an expert understanding of the company’s data and data systems, ensuring models are built on robust and accurate data foundations. • Function as a project lead, managing projects from inception to completion and mentor junior modellers to foster a collaborative and growth-oriented team environment. 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 • Strong experience in building and implementing predictive models in the insurance industry, preferably for P&C commercial lines • Nearly/Qualified P&C Actuary preferable • 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 GitHub desirable • Demonstrated ability to effectively interpret data and modelling results, and to then communicate them to audiences with differing levels of technical understanding • Organized, self-motivated, results-oriented, collaborative and very resourceful • Committed to personal development and passionate about continually learning new technical skills