06/10/2026

European Central Bank, Traineeship in the Directorate General Monetary Policy

Organizzazione: ECB - European Central Bank
Sede: Frankfurt am Main, Germania
Durata: 6 mesi, estendibili fino a 12 (dalla primavera 2027 in poi)
Indennità: 1.170 euro mensili
Benefit: Indennità di alloggio
L'offerta scade il: 20/10/2026
Area professionale: Economia e finanza Statistica/Data Analysis Scienze naturali Scienze sociali e umanistiche

Attività

Process datasets, including macroeconomic and microeconomic data as well as financial and intraday data, and maintain, update and further develop the data infrastructure;
contribute to preparing and updating charts and tables for regular internal and external reports and presentations in liaison with other business areas within the ECB;
develop and automate data workflows, including building dashboards with business intelligence and other tools, retrieving and integrating data via application programming interfaces, and generating charts and visualisations programmatically;
conduct analysis using methods such as DSGEs, VARs and local projections as well as asset pricing, factor and machine learning models;
work closely with your Division’s economists on enhancing analytical, numerical and econometric tools;
maintain and further develop the existing modelling infrastructure;
contribute to quantitative analyses and analytical projects that feature in policy reports or working papers, both of which may be published externally.

A bachelor’s degree or higher in economics, finance, econometrics, mathematics, statistics, data science, social sciences or a related field;
in-depth practical experience of working with one or more of the following programming languages: MATLAB, Dynare, Python, R, Stata or SQL, as evidenced by an empirical or theoretical project;
experience with one or more of the following types of economic data: macroeconomic data, financial market data, firm-level data, transaction-level data, high-frequency data, panel data, survey data, other microdata or large datasets;
a sound understanding of the economic issues covered by at least one of the two Divisions described above;
a good knowledge of Microsoft Office;
experience of importing data, creating charts, analysing data and using pivot tables in Microsoft Excel;
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.

Desired:

a master’s degree or higher (completed or in the final stages of completion) in economics, finance, econometrics, mathematics, statistics, data science, social sciences or a related field;
a solid background in econometrics (in particular time series and panel econometrics), statistics or data science (e.g. web scraping, text analysis or machine learning);
practical experience of working with relational databases, using SQL and/or other big data analytic tools in Hadoop, Spark or similar big data frameworks;
proven expertise in independently developing code and utilising diverse programming techniques in any of the following languages: MATLAB, Dynare, Python, R, Stata or SQL;
basic experience with collaborative development and version control systems, such as Git;
practical experience of using visualisation tools such as Power BI, Tableau or R Shiny;
experience of assisting in research;
experience in working with large language models (LLMs);
experience of using market data services such as Bloomberg, Thomson Reuters/Refinitiv (Eikon and/or DataStream), iBoxx, Haver Analytics, SNL Financial, Bureau van Dijk Orbis Bank Focus (formerly Bankscope) or Orbis Europe.