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 12.11.2026
Your team
Your role
- work with datasets, including macroeconomic and microeconomic data and high-frequency financial data;
- maintain, develop and enhance the Division’s data infrastructure, including its management tools and dashboards;
- work closely with the Division’s economists and research analysts, supporting the team with daily tasks and analytical projects;
- contribute to the Division’s input into monetary policy decision-making by using data analysis and statistical and econometric tools to help with empirical assessments;
- update charts and tables for regular internal and external reports and presentations, liaising with other ECB business areas.
Qualifications, experience and skills
- a bachelor’s degree or higher in economics, finance, econometrics, mathematics, statistics, data science, social sciences, computer science or another related field;
- experience with statistical and econometric software, such as Python, R, Stata and/or MATLAB;
- experience with one or more of the following types of economic data – macroeconomic data, financial market data, firm-level data, accounting/supervisory bank data, transaction-level data, high-frequency data, panel data, survey data, other microdata or large datasets (i.e. big data);
- an understanding of the economic issues covered by the Division;
- a good knowledge of the MS Office package, especially 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 in economics, finance, econometrics, mathematics, statistics, data science, social sciences, computer science or another related field (or being close to completing a master’s degree in one of these fields);
- experience working with relational databases, using SQL or other big data analytic tools;
- experience using visualisation tools, such as Shiny or Plotly/Dash;
- experience in econometrics (especially time series econometrics, econometrics of panel data and microeconometrics), or statistics and data science (e.g. web scraping, text analysis or other advanced machine learning techniques);
- experience with assisting research, such as providing data support for research projects;
- experience using market data services, such as Bloomberg, LSEG (Workspace and/or Datastream), iBoxx, Haver Analytics, S&P Global Market Intelligence, Moody’s Analytics BankFocus and Orbis Europe.
Further information
Application and selection process