Your duties involve advancing models for measuring operational risk and refining the methodology for incorporating climate risks into the credit evaluation process. Your willingness to tackle quantitative challenges and embrace novel modelling techniques allows you to enhance your mathematical and methodological expertise through innovative projects.
You'll be part of a diverse, international, and agile team comprising process-oriented business experts, IT developers, and methodologists. Your role entails owning every aspect of your model components, including:
- Analysing empirical data using contemporary mathematical and statistical methods.
- Evaluating various modelling approaches to assess their suitability and impact on bank management.
- Independently and flexibly developing your own concepts.
- Providing assistance for technical implementation.
- Conducting ad-hoc analyses in response to political or economic events.
- Reporting to management and committees.
- Engaging in dialogue with model users and supervisors.
- Collaboratively prioritizing tasks with the Product Owner.
Your qualifications should ideally include:
- A Master's or diploma degree in mathematics, computer science, natural sciences, or a related field, with a preference for candidates with a doctorate.
- Proficiency in mathematical and statistical concepts, including but not limited to multivariate statistics or stochastic processes.
- Hands-on experience with modern programming languages such as R or Python.
- Interest in data analysis and data science, with knowledge of SQL being advantageous.
- Basic understanding of risk measurement or risk control would be beneficial.
- Demonstrated analytical prowess, innovative thinking, and the ability to conceptualize and solve problems effectively.
- Strong communication skills, both written and verbal.
- A highly motivated team player who thrives in cross-location teams.
- Willingness to embrace agile working methodologies.
- Fluency in both German and English.
