Traineeship in the Monetary Analysis Division in the Directorate General Monetary Policy
Frankfurt
- Organization: ECB - European Central Bank
- Location: Frankfurt
- Grade: Internship - Traineeship - Only Open to EU Nationals
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Occupational Groups:
- Political Affairs
- Legal - Broad
- Economics
- Banking and Finance
- Closing Date: 2025-11-25
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 25.11.2025
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 decisions 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 packages, 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);
- a good knowledge of the MS Office package, especially Excel and PowerPoint;
- an understanding of the economic issues covered by the Division;
- 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 being close to completing a master’s degree) in economics, finance, econometrics, mathematics, statistics, data science, social sciences, computer science or another related field;
- experience working with relational databases, using SQL and/or other big data analytics tools;
- experience using visualisation tools, such as R Shiny, Shiny for Python and/or Plotly/Dash;
- experience in econometrics (especially time series econometrics, econometrics of panel data and micro-econometrics) or statistics and data science (e.g. web scraping, text analysis or other advanced machine learning techniques);
- experience assisting with research, such as providing data support for research projects;
- experience using market data services such as Bloomberg, LSEG (Eikon and/or Datastream), IHS Markit iBoxx, Haver Analytics, S&P Global SNL Sector Financials, Moody’s Analytics BankFocus (formerly Bankscope) and Orbis Europe.
Further information
Application and selection process
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.