Working Student

Job Start: February 2026
Job Type:
Part-time (20 hours/per week) for at least 12-months

Allianz student position
We kindly ask you to upload pdf documents only and make sure your
CV
for this position are in English.

Who will you be joining?
Allianz SE is the global headquarter of the Allianz Group. Our Group Risk department ensures the excellence in risk modeling and risk management for the Allianz Group and it's subsidiaries. Group Risk provides ownership and subject matter expertise for risk models, which includes developing guidelines and frameworks, governance and support for the internal risk capital model as well as the standard model.

The Working Student (f/m/d) Risk Analysis for Alternative Assets will be embedded in Group Risk`s Center of Competence for alternative assets, and is supporting risk analysis & modeling of investments in e.g. real estate, private equity, infrastructure, and renewable energy projects.

How can you make an impact?

• Perform quantitative analysis for calibration of risk models, particularly for Alternative Assets (e.g. time-series based models in R)
• Support on operational tasks in context of the Solvency II Internal model (e.g. quarterly risk capital closings, monthly counterparty limit runs)
• Contribute to the ongoing development of internal tools in R/Python/PowerBI (e.g. for reporting purposes).

What are you made of?
Minimum Qualifications

• Enrolled at a university for the entire duration of employmen
• Ideally already completed undergraduate studies in statistics/data science, mathematics or related field of study.
• Fluent in Business English; German would be a plus
• High motivation to learn about alternative assets with a strong sense of ownership and accountability
• Strong analytical skills, fast learner and attentive to details

• Good communication and interpersonal skills

• We can only consider your application if you provide the following documents:

• Certificate of enrolment (exception gap year)

• Valid Work and residence permit (for non-EU citizens). Please check before applying if you can work with your current VISA

Preferred Qualifications

• Proficient knowledge of statistical programming languages R or Python (PowerBI would be a plus
• Practical experience in risk management / time-series analysis techniques would be a plus
• Strong analytical thinking and structured problem-solving approach
• Proactive attitude and willingness to learn in a dynamic environment
• Ability to work independently while collaborating effectively with diverse teams

Do we have what you need?

• Flexible and hybrid work model
• Multinational and inclusive community
• Great career development and learning opportunities
• Health and well-being offerings
• Supportive family care benefits
• Opportunity to contribute to our sustainability programs
• Great place to work certified

And there is much more
Find out more here: Allianz SE Benefits

More information regarding our recruitment process: Allianz Career

Who are we?
Are you keen on driving innovation? Do you thrive in a culture of equality, collaboration and trust? Then let's care for tomorrow. At Allianz SE, you can count on having a voice, driving innovation and change and making an impact – for us, yourself and the world. For more about Allianz SE, Click Here

85556 | Risk Management | Student | n.a. | Allianz SE | Part-Time | Temporary

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.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Great to have you on board.
Let's care for tomorrow.