Job Description

Your area of work:

Clearstream, part of the Deutsche Börse Group, is a leading global provider of post-trade services, offering settlement, custody, and collateral management solutions. Our expertise ensures stability, efficiency, and transparency in financial markets worldwide.

The Model Validation Team plays a critical role in ensuring the robustness, accuracy, and compliance of the risk models used at Clearstream. This is your chance to gain hands-on experience in a high-stakes environment, working with professionals who validate cutting-edge financial models.

Your responsibilities:

• Assist in validating risk models used for operational risk, credit risk, market risk, and liquidity risk management.
• Help perform statistical analyses and backtesting to assess model performance.
• Assist reviewing model assumptions, methodologies, and limitations.
• Help develop and run stress-testing frameworks to evaluate model robustness under extreme scenarios.
• Research innovative approaches to enhance model accuracy and validation processes.
• Support the team with document findings and prepare validation reports in alignment with regulatory requirements (e.g., CSDR, MaRisk).

Your profile:

• You must be enrolled in a Master’s degree in in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, Economics, or related disciplines, and can provide an internship agreement, OR have graduated with a Bachelor's degree or similar for no more than 6 months
• Familiarity with statistical analysis, probability theory, predictive modeling, data science techniques, time series analysis, clustering, etc.
• Basic understanding of financial products (e.g., fixed income) and risk management concepts.
• Excellent problem-solving abilities with a keen eye for details.
• Strong ability to interpret and critically analyze data.
• Effective communication and writing skills.
• Ability to work both independently and collaboratively in a team.
• Fluent in English (spoken and written).
• Strong programming skills in Python.

We strongly recommend the upload of university grade reports/transcripts, certificates and reference letters.