Intern - Model Validation Team (f/m/d)
Luxembourg, LU
Deutsche Börse
Die offizielle Website der Gruppe Deutsche Börse mit Informationen zum Unternehmen und den Bereichen Investor Relations, Media, Karriere, Nachhaltigkeit und Regulierung.Your area of work:
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.
• Perform statistical analyses and backtesting to assess model performance.
• Review model assumptions, methodologies, and limitations.
• Develop and run stress-testing frameworks to evaluate model robustness under extreme scenarios.
• Research innovative approaches to enhance model accuracy and validation processes.
• Document findings and prepare validation reports in alignment with regulatory requirements (e.g., CSDR, MaRisk).
Your profile:
• Currently pursuing a Master’s/PhD 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
• Strong programming skills in Python, R, or a similar language.
• 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 detail.
• 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); German is a plus.
Tags: Clustering Computer Science Credit risk Economics Finance Mathematics PhD Predictive modeling Probability theory Python R Research Statistics Testing
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