DG/S is responsible for developing, compiling and disseminating the statistics and related statistical indicators that the ECB uses to conduct its monetary policy, and that enable the other functions of the ECB, the Eurosystem and the European System of Central Banks (ESCB) to be carried out. DG/S also provides statistical support to the European Systemic Risk Board (ESRB) and to ECB Banking Supervision.
In carrying out its work, DG/S cooperates closely with other business areas within the ECB, as well as with the national central banks of the Member States of the European Union (EU), the European Commission (in particular Eurostat), European and national supervisory authorities, international organisations, the national statistical institutes of EU Member States and the statistical departments of certain international institutions.
The Macroeconomic Statistics Division forms part of the Directorate General Statistics (DG/S) of the European Central Bank (ECB) is seeking a PhD graduate, or student who is completing her/his PhD studies, to participate in the ECB’s 2016 PhD traineeship programme.
The successful candidate will participate in the work of the Sector Accounts and Fiscal Statistics Section of the Macroeconomic Statistics Division. The Section is responsible for, among other tasks, compiling and disseminating the quarterly integrated euro area accounts.
The successful applicant will be entrusted the following main tasks:
- contributing to and maintaining the workflow relevant to linking Household Finance and Consumption Survey data with the household sector data included in Financial Accounts (the workflow compares and analyses these two data sets), as well as analysing this linkage further and investigating its potential analytical uses;
- preparing documents for meetings of a specific Expert Group comprising members from a number of national authorities;
- completing a conceptual or empirical study, suitable for presentation at an internal seminar;
- participating actively in the work of the Section.
The successful applicant will be expected to:
- gain an insight into conceptual, methodological and operational work on statistics in a policy-oriented environment;
- work independently, under the guidance of a mentor, but be able to use their initiative and to interact with other members of staff.
The position involves the practical application of knowledge to improve the quality of large datasets through validation, imputation, interpolation, nowcasting, backcasting and reconciliation.
Qualifications and experience
Applicants must have the following knowledge and competencies:
- a master’s degree in economics, econometrics, statistics, mathematics, social science or other relevant discipline;
- be currently studying (completed at least two years of study at PhD level) for, or have recently completed, a PhD in economics, econometrics, statistics, mathematics, social science or other relevant discipline;
- competence in the use of statistical or mathematical software packages (preferably Matlab), time series databases (for example, STATA and SAS or similar) and related computer programming experience; or, alternatively, a sound knowledge of, and experience in, dealing with large and complex datasets (for example, survey data or micro data);
- knowledge of international statistical standards and of economic statistics would be considered an asset;
- ideally, knowledge of, or experience in, financial instruments, institutions and markets, as well as in statistical methods;
- an advanced command of English;
- an intermediate knowledge of at least one other official language of the EU;
- good IT skills and a sound knowledge of MS Office (in particular Word, Excel and PowerPoint).
The successful candidate will have the following behavioural competencies:
- examines issues critically and applies relevant approaches geared towards finding successful solutions;
- analyses complex datasets from a variety of sources;
- communicates ideas in an effective manner and ensures mutual comprehension;
- is able to manage multiple tasks and track progress on numerous processes simultaneously and to work independently, without close supervision, while knowing when to involve others;
- provides assistance to team members without assuming responsibility for their work;
- shares information and supports team members in the achievement of common goals;
- is able to prioritise tasks, pay attention to detail while acknowledging the wider context, and deliver high-quality results within tight time frames.
PhD traineeship for a period of three to six months, with the possibility of an extension up to 12 months in total in the same business area.
To further enhance the diversity of its workforce, the ECB particularly encourages applications from female candidates.
How to apply
Applications are to be made in English and submitted using our online application form. An
“Applicants’ Guide” can be downloaded from our recruitment pages.
The recruitment process may include a pre-screening exercise and a telephone interview.
Before applying, applicants should check that they meet the conditions set out in Article 4 of the rules governing the traineeship programme: http://www.ecb.europa.eu/careers/pdf/traineeship_programme.pdf.
Further information on the ECB’s traineeships can be found at http://www.ecb.europa.eu/careers/newcomers/trainee/html/index.en.html.
Applicants are accepted from nationals of the Member States of the European Union.
The requirements laid down in the vacancy notice must be met by the closing date for applications. This vacancy notice may be used to fill the same position again, or similar positions, within 12 months of the selection decision.
The selection committee may place suitable candidates on a reserve list, from which candidates may be appointed to similar positions in the same or another business area. It may also be decided to fill the position(s) advertised in this vacancy notice with a suitable candidate or candidates from the reserve list resulting from a recruitment procedure for a similar position. Candidates will be informed accordingly if this happens.