Intern - Clearstream Model Validation (f/m/d)

il y a 8 heures

Luxembourg, Luxembourg Deutsche Börse Group Temps plein

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.

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