Working Student in Market & Liquidity Risk Management (m/f/d)

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Karrierestufe: Student/in

Standort: München, DE, 80802

Verfügbar bis:

Fachgebiet: Risiko Management

Einheit: Allianz SE

Vollzeit/Teilzeit: Teilzeit

Homeoffice: Hybrides Arbeiten

Beschäftigungsverhältnis: Temporär

ID: 86843

Welcome at Allianz

We are looking for a working student (m/f/d) for our modern and innovative location Munich Schwabing. Within Allianz SE, Group Risk (GR) is in charge of managing risks to bolster Allianz's financial strength and to support value-focused company leadership. As such Group Risk is responsible for monitoring and reporting on the Group's overall risk profile, and thus ensuring that individual Allianz companies adhere to the Group's risk governance principles. Our risk framework covers approximately 100 entities worldwide providing risk measures, analysis and reports to 400 - 600 direct users.

What you will do as Working Student in Market & Liquidity Risk Management (m/f/d):

• Support the development of quantitative risk management tools both in terms of modelling and programming, maintained by Group Risk and the team.
• Support with respect to daily risk management tasks in the Allianz Group's market and liquidity risk area (risk analyses, preparation of presentations, ...)
• Support in annual risk reporting process for Allianz Group (e.g. ORSA, SFCR, RSR, Annual Report, Recovery Plan reporting...)

What you bring as Working Student in Market & Liquidity Risk Management (m/f/d):

• Currently enrolled in an undergraduate or Masters program in a highly quantitative subject such as economics, finance, business informatics, Mathematics/Mathematical Finance, Physics, Computer Science and Engineering or related.
• Good command of at least one statistical programming language (e.g., Python and/or R, Excel VBA) ideally showcased via shared projects on Git or similar, with the ability to use it in a productive environment and create prototypes.
• Ability to understand and work with large datasets and knowledge of basic algorithms.
• Familiarity with fundamental mathematical and statistical concepts such as regression models, time series analysis, linear algebra, random variables and stochastic simulation methods, proved through relevant coursework or prior internship experience.
• Fluent in English, Fluency in German will be considered a plus.
• Openness to creative and innovative solutions, as well as a passion for working with forward-thinking technologies such as artificial intelligence or internal ChatGPT.

Our highlights for you:

• Health & well-being: Numerous sports and health offers as well as preventative measures lay the foundation for your physical and mental health.
• Remuneration: In addition to an attractive salary, you can expect a monthly travel allowance of 30,00 € and a daily lunch allowance in our excellent staff restaurants.
• Time & flexibility: With our "New Work" model, you can achieve an even better work-life balance. We work flexibly, hybrid, mobile and on site.
• Career development: Comprehensive educational opportunities in the form of training courses and access to LinkedIn Learning or Degreed enable continuous further development.

Appointment date: from January 2026

Are you interested? Then we look forward to receiving your application online on our careers page - careers.allianz.com.

Our colleagues at recruiting-operations@allianz.de will be happy to answer any technical or professional questions you may have.

Note: Allianz in Germany has an internal recruitment team that focuses on the direct search for outstanding candidates. No unsolicited applications from recruitment agencies or recruitment firms will be accepted.

As the world's leading insurer, financial services provider and asset manager, Allianz has been committed to the security of our customers and employees since 1890. We are also an award-winning employer: in 2023, Allianz in Germany won the Great Place to Work "Germany's Best Employer" award.

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.

Join us. Let's care for tomorrow.