Trainees will focus on one or more of the Division’s three main areas of competence: (1) euro area trade and competitiveness, (2) the current and financial account of the euro area, and (3) the forecasting and surveillance of non-euro area EU Member States, as well as the euro area countries in central and eastern Europe.

Your role

• Maintain and enhance analytical, econometric and forecasting tools in the fields of trade, balance of payments and country analysis;
• orchestrate the processing, consolidation and transformation of datasets while maintaining and enhancing database infrastructures in order to monitor economic developments;
• support the team in collecting, processing and visualising data;
• conduct quantitative analyses for the economic and policy assessment of individual countries and the euro area as a whole;
• contribute to the Economic Bulletin and other regular internal and external publications produced by the Directorate General Economics in collaboration with other ECB business areas.

Essential: 

• a bachelor’s degree or higher in economics or a related field;
• a working knowledge of applied econometrics, especially time series econometrics, panel data econometrics or microeconometrics;
• practical experience in handling and manipulating one or more of the following types of economic datasets: macroeconomic data, firm-level and/or other microeconomic data, financial market data;
• a good understanding of the economic issues covered by the Division and of the institutional framework of the ECB and the Eurosystem;
• a good working knowledge of the MS Office package, in particular PowerPoint and Excel;
• practical experience in working with statistical and econometric packages such as Stata, EViews or MATLAB, or with programming languages such as R or Python;
• 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 in economics or a related field, or nearing completion of such a qualification;
• experience in using market data services such as Bloomberg or Haver Analytics;
• practical experience in designing and programming automated reports and/or creating web applications using R Shiny.