Traineeship in the Prices and Costs Division
Frankfurt
- Organization: ECB - European Central Bank
- Location: Frankfurt
- Grade: Internship - Traineeship - Only Open to EU Nationals
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Occupational Groups:
- Closing Date: 2026-01-05
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 05.01.2026
Your team
Your role
- process, consolidate and transform datasets, maintain and develop databases and visualisation tools (including interactive dashboards), and use microdata to monitor inflation and real economic developments;
- contribute to the Division’s regular internal and external products (including the Economic Bulletin and macroeconomic projections), for instance by preparing tables and charts for reports, spreadsheets or PowerPoint presentations, in collaboration with other business areas;
- support policy decision-making by conducting empirical analyses using data analysis and statistical and econometric tools, particularly MATLAB, Stata and R;
- contribute to enhancing and expanding analytical, econometric and forecasting tools;
- support micro-level analysis of wage and price inflation, for example by contributing to the ECB’s wage tracker, by assessing micro-level developments in wage dynamics and consumer prices (including expectations) and/or helping to analyse price-setting, working with large datasets based on different sources (including from web scraping and large text corpora).
Qualifications, experience and skills
- a bachelor’s degree or higher in economics, econometrics, mathematics, statistics, data science or another relevant field;
- practical experience of working with complex datasets, preparing charts and tables for reports and presentations, and ensuring data quality;
- a good knowledge of multiple statistical and econometric analysis using programming languages such as MATLAB, R, Python, or Julia or statistical and econometric software such as Stata;
- 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 in economics, econometrics, mathematics, statistics, data science or another relevant field;
- a broad knowledge of macroeconomics and economic issues relating to wage and price developments;
- experience working on analytical projects (alone or as part of a team);
- a good knowledge of MS Excel and PowerPoint;
- a solid background in econometrics (in particular, time series econometrics, panel data econometrics and micro-econometrics) or statistics and data science (for example, natural language processing, web scraping and machine learning);
- practical experience of working with potentially large-scale microdata and using SQL;
- practical experience of using data visualisation tools (for example creating web interactive web applications);
- exposure to version control software such as Git.
Further information
Application and selection process
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.