Pubblicato su stage4eu il: 15/04/2019
ECB, Traineeship in Directorate General Microprudential Supervision
ECB - European Central Bank
Sonnemannstrasse 20, Frankfurt am Main, Germania
Contabilità e finanza
6 - 12 mesi.
L'offerta scade il 01/05/2019
Benefit: Rimborso spese di alloggio
- helping to assess licensing applications, licence withdrawals and acquisitions or increases in qualifying holdings in LSIs;
- contributing to the analysis of the legal and regulatory framework for supervised banks in various jurisdictions and of supervisory practices applied by NCAs;
- assisting in developing SSM policy stances (including joint supervisory standards) and SSM methodologies, enhancing NCA supervisory practices for LSIs and drafting related legal acts (e.g. recommendations, guidelines and general instructions);
- supporting data collection and analysis of risks and vulnerabilities in the LSI sector, including the development of analytical models;
- assisting in the production of reports and risk analyses;
- working independently and as part of a team on projects relating to indirect microprudential supervision.
- a bachelor’s degree in finance, economics, business administration, law, accounting, engineering or another relevant field;
- basic knowledge of bank-related risk analysis or financial regulation;
- advanced knowledge of Microsoft Office, particularly Word, Excel and PowerPoint;
- an advanced command of English and an intermediate command of at least one other official language of the EU.
- a master’s degree in finance, economics, business administration, law, accounting, engineering or another relevant field;
- knowledge of International Financial Reporting Standards (IFRS) and/or the German Generally Accepted Accounting Principles (GAAP) regime;
- knowledge of EU regulations concerning the assessment of qualifying holdings and the licensing of new banks;
- knowledge or experience of corporate finance, risk management, accounting, legal analysis, developing methodologies, statistics, modelling or programming;
- experience of analysing and comparing large amounts of data from different data sources and in different formats;
- programming experience (ideally with Python, R, SQL or VBA).