Job description
The Modelling Data team supplies Credit Risk Modelling with the data they need to compile risk models. On one hand your duties will consist of technical aspects such as SAS/ SQL and Python programming, performing Data Quality analyses and integrating datasets. On the other hand you'll be working on documentation and using your communicative skills for stakeholder alignment. You also play an active role in the frequent team meetings where knowledge-sharing and transparency on progress is key.
Delivering datasets, performing data quality analyses and writing DQ reports for the requested data. Communication with stakeholders. In case of prior experience with IMI's, activities might relate to that. In case with prior experience with databricks and data replatforming, activities might relate to that.
Your ability and willingness to work with others is crucial for your success in this role. You are naturally someone who takes initiative, structures and organises work well and is keen to work with others to deliver tangible results. You are practical, have an analytical approach and good communication and presentation skills. You are a strong team player and you take responsibility for your work. In the dynamic environment in which you operate, you have the ability to get all stakeholders on board.
You also have the following qualifications and skills:
- Experience with working in Finance and Risk data in a Banking environment
- Knowledge of risk management in banking or financial institutions
- Experience (3 years) in working with data preferable within Finance & Risk
- Experience in SQL and/or Python
- Excellent verbal and written communications skills
- Good stakeholder management skills
- A Master's degree, preferably a beta (STEM) study
