Your role
As a trainee, you will:
- participate actively in the general work of the Division by (i) contributing to analyses for inclusion in regular internal reports and external publications such as the ECB’s Financial Stability Review, (ii) contributing – through data processing, research assistance and programming – to analytical projects focused on issues currently of interest to the Directorate General, and (iii) helping to prepare presentations and notes for stakeholders;
- maintain, update and further develop data infrastructures used for identifying systemic risk and analysing developments in the non-bank financial sector and financial markets;
- develop tools for efficient data processing, data analysis and data visualisation, while helping ensure users can access complex datasets.
The traineeship offers you excellent opportunities to familiarise yourself with key aspects of financial stability in the euro area and to develop your technical skills by participating in a variety of regularly performed tasks and projects. You will be able to develop your potential and quickly make a real difference to the work of the Division. As a trainee, you will have the opportunity to work in a team alongside committed and highly qualified colleagues and leaders in the field of financial stability and macroprudential policy.
You will be able to attend a wide range of seminars and will have access to the ECB’s library as well as its computing, programming and statistical resources. You will have the opportunity to network and engage with other employees, grow personally and expand your business knowledge. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.
Qualifications, experience and skills
Essential:
- a bachelor’s degree or higher in finance, economics, statistics, mathematics, engineering, business administration, physics, computer science or a related discipline;
- a good understanding of and practical experience working with one or more programming languages and econometric software packages (e.g. R, Stata, MATLAB, Python or SQL);
- experience in preparing, handling and analysing datasets based on various data sources;
- a good knowledge of the MS Office package, in particular Excel and PowerPoint;
- an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages.
Desired:
- a master’s degree, or studies towards a master’s degree that are close to completion, in finance, economics, statistics, mathematics, engineering, business administration, physics, computer science or a related discipline;
- initial experience using AI tools in research, analysis or data processing to improve efficiency and automate workflows;
- knowledge of financial markets and financial sector analysis;
- experience in using financial and economic databases (e.g. the ECB Statistical Data Portal, Bloomberg, LSEG Workspace, EPFR, Lipper, PitchBook or other commercial or public data sources).