Intern - Model Validation (f/m/d)

Deutsche Börse AG; Frankfurt; On-site; EUR 11,000 - 22,000; Part time

Job summary

Deutsche Börse Group invites applications for an internship in the Clearstream Model Validation department. You will support validation of risk models across operational, credit, market, and liquidity risks, perform statistical analyses and backtesting, and help develop stress-testing frameworks.

You will also research innovative methods and document findings for regulatory compliance. The role requires pursuing a Master’s/PhD in a quantitative field and strong programming skills in Python or R,

Qualifications

• You are pursuing a Master’s/PhD in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, Economics, or related quantitative disciplines.
• You have strong programming skills in Python, R, or a similar language.
• You are familiar with statistical analysis, probability theory, predictive modeling, data science techniques, time series analysis, clustering, etc.
• You have a basic understanding of financial products and risk management concepts.
• You have excellent problem-solving abilities with a keen eye for detail and effective communication.

Responsibilities

• You will assist in validating risk models used for operational risk, credit risk, market risk, and liquidity risk management.
• You will perform statistical analyses and backtesting to assess model performance and review model assumptions, methodologies, and limitations.
• You will develop and run stress-testing frameworks to evaluate model robustness under extreme scenarios.
• Furthermore, you will research innovative approaches to enhance model accuracy and validation processes.
• You will document findings and prepare validation reports in alignment with regulatory requirements (e.g., CSDR, MaRisk).
• You will work on automation of the validation scripts.

Skills

Statistical analysis

Time series analysis

Data science techniques

Problem solving

Communication

Education

Master’s/PhD in quantitative field

Tools

Python

R

Job description

Your career at Deutsche Börse Group

Your area of work

As an intern (f/m/d) you will support the team in the Clearstream Model Validation department in ensuring the robustness, accuracy, and compliance of the risk models.

Your responsibilities:

• You will assist in validating risk models used for operational risk, credit risk, market risk, and liquidity risk management
• You will perform statistical analyses and backtesting to assess model performance and review model assumptions, methodologies, and limitations
• You will develop and run stress-testing frameworks to evaluate model robustness under extreme scenarios
• Furthermore, you will research innovative approaches to enhance model accuracy and validation processes
• You are also supporting in document findings and prepare validation reports in alignment with regulatory requirements (e.g., CSDR, MaRisk)
• Besides that, you will work on automation of the validation scripts
  

Your profile:

• You are currently pursuing a Master’s/PhD in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, Economics, or related quantitative disciplines
• You have strong programming skills in Python, R, or a similar language
• You are familiarity with statistical analysis, probability theory, predictive modeling, data science techniques, time series analysis, clustering, etc.
• You have a basic understanding of financial products (e.g., fixed income) and risk management concepts
• Morover, you have excellent problem-solving abilities with a keen eye for detail
• You have a strong ability to interpret and critically analyze data andalso effective communication and writing skills
• Additionally, you have the ability to work both independently and collaboratively in a team
• Furthermore, you are proficient in written and spoken English, German is a plus

Start date: 01/12/2026