Your role
As a trainee you will:
1. help the team process data and produce charts and graphs;
2. participate in developing a database infrastructure using both aggregate macro time series data and microdata;
3. contribute to quantitative analysis for economic and policy assessments;
4. help maintain analytical, econometric and forecasting tools;
5. contribute to the Economic Bulletin and other regular internal and external publications produced by the Directorate General Economics, in collaboration with other business areas within the ECB.
The traineeship offers you excellent opportunities to work closely with the Division’s economists and research analysts and to contribute to analytical and policy-related tasks. You will work alongside other trainees and will be assigned a supervisor. You will also be expected to complete tasks on your own initiative and to work independently. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.
Qualifications, experience and skills
Essential:
6. a bachelor’s degree or higher in economics, finance, statistics, data science or another relevant field;
7. a sound understanding of macroeconomics, with a particular focus on labour markets and economic growth;
8. experience with one or more of the following types of economic data: macroeconomic data, firm-level data, high-frequency data, panel data, survey data, other microdata or large datasets (i.e. big data);
9. a sound understanding of econometrics, including either time series models or applied microeconomics;
10. proficiency in econometrics software packages such as MATLAB or Stata;
11. a good knowledge of the MS Office package;
12. an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the .
Desired:
13. a master’s degree in economics, finance, statistics, data science or another relevant field (completed or close to completion);
14. knowledge of programming languages such as R or Python;
15. experience with VBA in Excel and SQL database management;
16. knowledge of, or experience in, data science and artificial intelligence (e.g. machine learning techniques, text analysis, large language models and APIs);
17. exposure to version control tools such as Git.
You are curious and eager to learn, and want to further develop your ability to analyse complex information. You are keen to collaborate with others, pursue team goals and learn from other people’s diverse perspectives. You strive to know and anticipate stakeholder needs, and will signal any need for change and propose alternative solutions.You are motivated to contribute to the ECB’s mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe. You are keen to be part of our team and to use your skills and competencies to achieve the aims of this position.