Traineeship in the External Developments Division
- Organization: ECB - European Central Bank
- Location:
- Grade: Internship - Traineeship - Only Open to EU Nationals
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Occupational Groups:
- Closing Date: 2025-10-31
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 31.10.2025
Your team
Your role
- process, consolidate and transform datasets, including macroeconomic and microeconomic data, and maintain and develop databases;
- support the team in collecting, processing and visualising data for regular internal and external reports and presentations in liaison with other business areas within the ECB;
- programme and maintain the statistical and econometric procedures needed to support the Division’s input into policy discussions and research projects and to develop analytical tools used in policy processes;
- maintain and further develop the existing modelling infrastructure;
- help design and run simulation and scenario analyses of the euro area’s external environment using the ECB-Global model;
- contribute to quantitative analyses and analytical projects that inform policy processes, including the ECB and Eurosystem staff macroeconomic projections for the euro area and working papers that may be published externally.
Qualifications, experience and skills
- a bachelor’s degree or higher in economics, finance, econometrics, statistics, applied mathematics, data science or a related field;
- a sound understanding of international macroeconomics;
- practical experience with data-intensive projects and familiarity with the macroeconomic and financial statistics contained in international databases (e.g. the ECB Statistical Data Warehouse and IMF International Financial Statistics) or databases maintained by Eurostat, the OECD, Haver Analytics or Bloomberg;
- a very sound knowledge of spreadsheet and visualisation tools such as MS Excel, MS PowerPoint or R;
- strong programming skills and proven practical experience with, for example, one or more of the following software products: MATLAB, R, Julia, Stata and Python;
- a good knowledge of the MS Office package;
- 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 (completed or in the final stages of completion) in economics, finance, econometrics, statistics, applied mathematics, data science or a related field;
- a completed project (e.g. research paper or thesis) demonstrating quantitative skills in one or more of the following areas: structural and semi-structural models, DGSE models, Bayesian vector autoregression (VAR) models, error correction models and panel regression techniques;
- practical experience of working with complex code;
- practical experience with data science techniques such as web scraping, textual analysis or machine learning. Practical experience of working with large language models;
- experience of using version control software (e.g. Git);
- practical experience of using visualisation tools such as Power BI, Tableau or Shiny.
Further information
Application and selection process
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.