
This position is limited until 28.02.2027.
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 safeguarding the robustness, accuracy, and regulatory compliance of the risk models used across Clearstream. As a full-time Model Validation Specialist, you will contribute directly to the integrity of our risk framework and help ensure that our models meet high quantitative and regulatory standards.
Your responsibilities
As a Model Validation Specialist, you will:
Independently validate risk models used for operational, credit, market, and liquidity risk management
Conduct advanced statistical analyses, benchmarking, and backtesting to assess model performance
Review and challenge model assumptions, methodologies, conceptual soundness, and implementation
Design and execute stress-testing and scenario analysis to assess model behavior under extreme conditions
Propose enhancements to improve model robustness, accuracy, and regulatory compliance
Collaborate closely with model developers, risk managers, and stakeholders across the organization
Draft comprehensive validation reports aligned with internal standards and regulatory frameworks (e.g., CSDR, MaRisk, ECB guidelines)
Support internal and external audit processes and regulatory inquiries
Your Profile
We are looking for an analytical and proactive professional with the following qualifications:
Master’s degree in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, Economics, or related discipline
Minimum of 2–3 years of relevant professional experience
Strong programming skills in Python; experience with libraries such as NumPy, pandas, SciPy, or scikit-learn is a plus
Solid understanding of statistical analysis, probability theory, time series analysis, predictive modeling, and machine learning methods
Knowledge of financial products (e.g., fixed income, derivatives) and risk management concepts
Experience with model development, validation, or quantitative risk analysis is a strong advantage
Excellent quantitative problem-solving abilities and a rigorous, detail-oriented working style
Ability to interpret, explain, and critically assess complex data and models
Strong communication skills, with the ability to articulate complex quantitative concepts to diverse stakeholders
Ability to manage multiple tasks, work independently, and collaborate effectively within a team environment
Proactive mindset with a willingness to challenge assumptions and propose improvements
Former management experience is an advantage
Fluent in English (spoken and written); German language skills are an advantage
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