Your Career Path

Are you about to graduate and eager to kickstart your career with a leading organization? Then the Allianz Graduate Program is just right for you! Over 16 months, you will develop purposefully and be optimally prepared for your future role with us – through exciting projects, personal mentoring, and a strong network.

The Graduate Programme

As a participant in the Graduate Programme, you will undergo a comprehensive training curriculum that combines hands-on experience with specialized workshops. You will be exposed to various departments and projects, allowing you to develop a deep understanding of Allianz’ operations and strategic goals in Central Europe. Throughout the programme you will work closely with seasoned professionals and receive mentorship from trusted colleagues.

Benefits. What we offer

• Excellent training and e-learning opportunities
• Meal subsidy
• Discounted insurance conditions
• Employee stock program
• Corporate volunteering
• Sports and health offerings

Responsibilities

• Development of stochastic forecasting models (risk/cancellation/conversion models) and technical tariffs, including the use of state-of-the-art algorithms for data analysis (especially machine learning, data mining).
• Actively shape product development and strategic initiatives within agile, cross-functional teams, taking on end-to-end responsibility.
• Automate and optimize existing methods along the entire actuarial value chain with innovative ideas, including data construction and analysis, risk modeling, tariff development, and implementation.
• Create and expand tools and dashboards for actuarial analysis of quoted and completed contracts, conduct analyses, and independently derive actionable recommendations from them.
• Preparation of results and presentation to different stakeholders.
• Exchange with international pricing colleagues on the latest developments.

Key requirements/What you bring

• Master’s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Econometrics, or a comparable field.
• Interest in actuarial science and insurance business, ideally with initial practical experience. Alternatively, bring prior knowledge and practical experience in data modeling and analysis, machine learning, or data mining.
• Experience in data handling and programming affinity (Python, PySpark, R, SAS, SQL, or similar).
• Work independently and take on responsibility within the team. Additionally, possess the ability to clearly communicate complex issues
• Excellent English skills (C1). Local Language is a plus but not mandatory.

Potential Rotations

• Data Office
• Service Steering
• And more – to be discussed together