Profil der Bewerberin/des Bewerbers
- You hold a master’s degree in finance or Computer Science (or equivalent)
- STEM discipline background ideally with additional experience in financial risk.
- Counterparty credit exposure analysis requires strong mathematical skills, particularly in order to understand and model the valuation of derivative transactions and complex price formulae. It also requires an appreciation of many different energy related trading products and the applicable legal framework within which transactions are concluded.
- As such, experience in a position involving market or credit risk modelling, portfolio management is desired.
- A very high degree of computer literacy is necessary for success in this role. Python, SQL, PowerBI are mandatory. Workflow management, Alteryx, VBA also useful.