0Intern Risk & Controlling with a focus on model validation
Mercedes-Benz Bank AG | Germany | 70xxx Stuttgart | Practical training | Full time / Home office | Published since: 17.09.2026 on stepstone.de ♿️

Intern Risk & Controlling with a focus on model validation

Branch: Insurance and financial ser... Branch: Insurance and financial services


Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0004810

Your tasks • Your profile • What we offer

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0004810 The Risk & Controlling department at Mercedes-Benz Bank's Risk Management Board is the Center of Risk Competence. With innovative methods, models and technologies, we manage risks efficiently, validate risk models independently and create transparency for management, departments and banking supervision. Your tasks in detail: You support the independent validation of risk models, in particular in the areas of credit risk, risk parameters, rating and scoring, as well as other quantitative models in the banking environment You analyze model assumptions, data quality, model performance and stability. You work with statistical methods, validation tests and quantitative evaluations You will get insights into regulatory requirements for risk models, model governance and validation processes, for example in the context of MaRisk and internal policies You prepare validation results in a structured manner, support the creation of validation reports and deliver presentations as well as decision documents for departments, management and bodies with You support data processing, plausibility, evaluation and automation using statistical analysis tools such as Python, R, SAS, SQL or Databricks You can introduce your own ideas for developing validation approaches, evaluations, visualizations or process improvements. We look forward to analytical curiosity, initiative and the view for robust solutions We give you the chance to use and develop your knowledge in quantitative risk analysis, statistics and regulatory model governance directly in practice. You work with real data, get to know modern risk models and get a good understanding of how risks are measured, evaluated and controlled in a bank. In addition to model validation, you will gain insights into other exciting topics of our team, such as asset liability management, credit risk, supervisory reporting and stress testing. And, of course, the team spirit is not too short: joint team events and an open exchange are part of it. What we offer you: Working with real validation and analysis tasks Insights into risk models, validation methods, model governance and regulatory requirements Application of statistical methods and modern analysis tools in the banking environment We vote the content on your strengths and interests Possibility of a subsequent working student activity Evaluating and regular team events Hybrid work possible The activity can begin from November 2026.

Programme in the field of financial mathematics, mathematics, economic mathematics, statistics, natural sciences, economics, economics, econometrics, economics, physics, economics, business informatics, data science, economic engineering or a comparable degree programme

Interest in risk models, statistics, data analysis, model validation and regulatory issues in the banking environment

Basic knowledge of quantitative methods, statistics or econometry

Basic knowledge of programming and data analysis, for example with Python, R, SAS, SQL or comparable tools

German language skills and good English skills in word and writing

Safe handling of Microsoft Office, especially Excel and PowerPoint

Analytical and Structured Operation, Quick Understanding and High Care in Data, Analyses and Results

Self-employment, reliability and open communication

Interest in complex business-wide relationships, transformation processes, project management and topics of the banking environment

Curiosity for quantitative risk topics

Additional information:

We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The disabled representative (sbv@mercedes-benz.com) is happy to support you in the application process. People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Hybrid work possible Employee discounts possible Staff Events Flexible working time possible Employment Mobility offers Good connection Parking space Kantine, Café Business doctor Accessibility

Location

ava Mercedes-Benz Bank AG
70469  Stuttgart
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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