Pubblicato su stage4eu il: 13/06/2025 European Central Bank, PhD Traineeship in the Sector Accounts and Fiscal Statistics Section

ECB - European Central Bank
Sonnemannstrasse 20, Frankfurt am Main, Germania
Economia e finanza, Statistica/Data Analysis
6 mesi prorogabili fino a 12 
2.120 euro mensili
Benefit: indennità di alloggio
L'offerta scade il 02/07/2025
vai all'offerta
Attività:
  • Contribute to developing and producing distributional wealth accounts for the euro area by linking microdata from the Eurosystem’s Household Finance and Consumption Survey to household macrodata included in the financial accounts, and by investigating potential additional data sources related to households;
  • prepare documents for meetings with experts from national authorities;
  • develop and refine methods used to estimate distributional wealth accounts;
  • maintain and improve the code used to produce distributional wealth accounts;
  • collaborate with colleagues from the ECB and the European System of Central Banks responsible for analysing data, providing explanations of the compilation process and assisting with specific investigations;
  • carry out a study of distributional wealth accounts and present the results at an internal seminar and/or to experts from national authorities.
Requisiti principali:

 

Essential:

  • a master’s degree and at least two years of PhD studies in the field of economics, econometrics, statistics, mathematics, social sciences or another relevant field;
  • a proven ability to code using R, Python, MATLAB, Stata or another programming language;
  • experience dealing with large and complex datasets, such as survey data or microdata;
  • a good knowledge of the MS Office package;
  • 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: 

  • knowledge of national accounts (financial and/or non-financial) or related economic statistics (e.g. monetary, financial and external statistics or household surveys), and/or experience using such data in applied research or analysis;
  • knowledge or experience of financial instruments and/or statistical methods, such as statistical modelling and inference or data extrapolation methods;
  • experience using R for analytical purposes;
  • good drafting skills and the ability to explain complex concepts in non-technical terms.
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