The candidate would be required to provide support to Portfolio Performance Advanced Analytics team to manage all motor and non-motor tariffs and to perform the following activities:Tariff definition and review based on statistical models and profitability analysis resultsEvaluation and update of Rate RequirementTechnical documents draftingData collection and processing to support standard portfolio analysis and monitoring ones or ad hoc simulation.Portfolio monitoring based on main KPIsProfitability analysis based on statistical modellingSupport to complaints related to pricingKEY REQUIREMENTS/SKILLS/EXPERIENCEMaster's degree in Statistics/ Mathematics/ Actuarial Sciences/ PhysicsPython/ SQL/ SAS/ ROffice (MS Word, Excel and PowerPoint)Strong analysis, problem-solving, and communication skillsCurious about new approaches and committed to continually increase technical knowledgeTeam spirit, self-motivation, and a proactive result-driven working style as well as ability to interact in a global work environment with people from different countries and cultures.Fluent in Italian and English (both written and spoken)54654 | Actuarial | Entry Level | Allianz Direct | Full-Time | PermanentAllianz 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).
#J-18808-Ljbffr