Intern - Quantitative Risk Analyst (f/m/d)
Date: 20 Mar 2025
Location: Luxembourg, LU
Company: Deutsche Börse Group
Your area of work:
Group Credit's overriding objective is to ensure that business activities are conducted within a prudent credit risk framework that is consistent with the bank's credit appetite and in compliance with regulatory and supervisory requirements. We are searching for a Quantitative Risk Analyst to temporarily reinforce team's capacity on the development, continuous improvements and implementation of collateral- and credit rating models.
A successful candidate will support multiple projects on the enhancements in qualitative and quantitative methodologies, aimed at strengthening the overall credit risk management Framework, as well as prototyping, testing and roll-out of the related tools.
Your responsibilities:
- Support the development and maintenance of the existing risk models, incl. model recalibrations
- Support conceptualization of model enhancements to address model validation findings
- Conduct research on credit and market risk methodologies, prepare research memos and recommendations
- Collect and prepare model related testing and training data sets
- Develop model prototypes, assist in model testing and drafting requisite model-related documentation
- Work in close collaboration with model users and IT to accompany IT development process, including writing business requirements, taking into consideration the available (or planned) infrastructure, as well as performing business acceptance testing
Your profile:
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You are enrolled in a Bachelor's or Master's Degree programme with a recognized institution focusing Finance, Economics, Mathematics, Statistics, Engineering and can provide an internship agreement, OR have graduated with a Bachelor's degree or similar for no more than 6 months preferably in their last semesters;
- Sound programming skills in applications like Python, R, SQL or alike;
- Strong problem-solving and analytical skills, ability to draw accurate conclusions based on complex data;
- Good understanding of statistics and quantitative techniques;
- Good understanding of market and credit risk concepts, adequate research skills:
- Creativity and forward-looking thinking;
- Attention to details, ability to work independently, structured and result-oriented approach to work;
- Integrity, willingness to take responsibility, proactive attitude and high level of reliability;
- Team player with high commitment, adequate communication and presentation skills;
- Fluent in written and spoken English; French and/or German will be an asset.