About this role
About Clearstream 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
- 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 or PhD 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, quantitative finance, 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.