ECB - European Central Bank
General Information
Type of contract
Traineeship
Who can apply?
EU nationals eligible for our traineeship programme
Grant
The trainee grant is €1,170 per month plus an accommodation allowance (see further information section)
Working time
Full time
Place of work
Frankfurt am Main, Germany
Closing date
07.09.2026
Your team
Your role
- 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.
Qualifications, experience and skills
- 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.
- 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).
Further information
Application and selection process
Apply
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