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DEDeutsche Börse

Intern - Model Validation(m/w/x)

Frankfurt am Main
Full-timeInternshipOn-site
Data Science

Assisting with validation of risk models using statistical analysis and backtesting. Master's/PhD in a quantitative field and Python/R programming skills required. Support in ensuring model robustness, accuracy, and compliance.

Requirements

  • Master’s/PhD in quantitative field (Finance, Mathematics, Statistics, Computer Science, Economics, or related)
  • Strong programming skills in Python, R, or similar
  • Familiarity with statistical analysis, probability theory, predictive modeling, data science, time series analysis, clustering
  • Basic understanding of financial products and risk management
  • Excellent problem-solving abilities with keen eye for detail
  • Strong ability to interpret and critically analyze data
  • Effective communication and writing skills
  • Ability to work independently and collaboratively
  • Proficient in written and spoken English; German is a plus

Tasks

  • Support team in model validation
  • Ensure robustness, accuracy, and compliance
  • Assist in validating risk models
  • Perform statistical analyses and backtesting
  • Assess model performance and assumptions
  • Review model methodologies and limitations
  • Develop stress-testing frameworks
  • Evaluate model robustness under extreme scenarios
  • Research innovative validation approaches
  • Document findings and prepare reports
  • Align with regulatory requirements
  • Work on automation of validation scripts

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent
  • GermanBasic

Tools & Technologies

  • Python
  • R
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