The candidate will join the Actuarial Pricing Motor unit and will be involved in the following activities:
•    Data manipulation and preparation for statistical analysis
•    Develop and update models for Motor products using advanced statistical techniques like Generalized Linear Model and Machine learning
•    Tariff definition/revision based on evidence from statistical models with impact analysis or scenario testing
•    Technical quotation for corporate/automotive business

KEY REQUIREMENTS/SKILLS/EXPERIENCE

•    Master's degree in Statistics, Mathematics, Actuarial, Physics or Computer Science 
•    Knowledge of mathematical/scientific/statistical modeling or actuarial models would be an advantage
•    Basic knowledge of Python, SAS and Office suite (incl. VBA for Excel)

•    Towers Watsons suite for insurance (Modeller, radar base, classifier) would be an advantage

•    High problem-solving attitude
•    Great curiosity in order to create an overall vision
•    Proactive, result-driven working style 
•    Ability to work independently as well as engage and interact with different stakeholders
•    Fluent in Italian and English, written and spoken

61759 | Actuarial | Professional | Non-Executive | Allianz Italy | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Join us! Let's care for tomorrow.

Both genders may apply in accordance with the L. 903/77 (s.m.i).