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Statistics Traineeship Programme 2015

The Directorate General Statistics (DG/S) of the European Central Bank (ECB) is seeking recent graduates or students who are close to completing their studies for its Traineeship Programme in 2015.

DG/S is responsible for developing, compiling and disseminating the statistics and the related statistical indicators that the ECB needs to conduct its monetary policy and macro-prudential tasks, and that enable the other functions of the ECB (including banking supervision), 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) as well as the ECB Banking Supervision.
For this purpose, DG/S cooperates closely with other ECB business areas, the national central banks of the Member States of the European Union (EU), the European Commission (especially Eurostat), European and national supervisory authorities, international organisations, the national statistical institutes of EU Member States and the statistical departments of certain international institutions.
DG/S comprises six divisions:
Macroeconomic Statistics Division:
This Division develops, compiles and disseminates the statistics regarding financial and non-financial sector accounts for the euro area, as well as statistics on prices and costs, output and demand, the labour market and government finance and, where appropriate, liaises with the primary producers of such data.
External Statistics Division:
This Division develops, compiles and disseminates the euro area’s external statistics and statistical indicators, in particular the balance of payments, the international investment position and effective exchange rates. It also manages the Centralised Securities Database (CSDB) and the ECB’s centralised Market Data Services.
Monetary and Financial Statistics Division:
This Division develops, compiles and disseminates the statistics regarding monetary financial institutions (MFIs), other financial intermediaries, insurance corporations and pension funds, financial stability and financial markets – including interest rate and securities (issues) statistics – as well as statistics regarding the money market and payment systems within the euro area. It is developing and will run a euro area-wide distributed model of credit registers.
Statistical Information Services Division:
This Division develops and applies the statistical tools and procedures to collect, produce, manage and disseminate the ECB’s statistics and statistical databases. It provides IT support to internal and external users of the databases, implements best practices in statistical data exchange and management, and harmonises statistical processes.
Supervisory Statistics Division:
This Division develops, collects, compiles and disseminates the datasets and quantitative risk reports for supervisory purposes. This entails the coordination, receipt, quality management and reconciliation of supervisory data of credit institutions. In addition, it produces derived statistics or indicators for the quantitative Risk Assessment System as well as for other statistical and analytical needs in the ECB. It contributes to the further development and harmonisation of supervisory information in close collaboration with banking supervision business areas and in cooperation with the European Banking Authority.
Statistics Development/Coordination Division:
This Division develops new types of statistics and statistical indicators (current projects include work relating to financial stability, credit risk transfer, securities holdings and payment cards). It also develops, compiles and disseminates statistics on surveys relating to household finance and consumption and access to finance for small and medium-sized enterprises (SMEs). In addition, it contributes to work on European and global statistical standards, including the reconciliation of statistical and supervisory reporting frameworks.
Further details of the work of these six divisions, along with some trainee profiles, can be found on the statistics pages of the ECB’s website.
Trainees will be expected to:

  • participate actively in the work of one of the divisions;
  • gain an insight into conceptual, methodological and operational work on statistics in a policy-oriented environment;
  • work independently, under the guidance of a mentor, use their initiative and interact with other members of staff.

Trainees may also have an opportunity to complete a conceptual or empirical study, suitable for presentation at an internal seminar.
Typically, up to 35 trainees are recruited to work on different tasks and projects each year. Some examples are given below.

  • In the Macroeconomic Statistics Division, trainees may work on the compilation, statistical analysis and dissemination of general economic statistics, such as price and output statistics. Trainees may also work on analysing and compiling statistics from the financial and non-financial accounts. They may also be involved in seasonal adjustment or the analysis of government finance statistics.
  • In the External Statistics Division, they may work on monitoring the quality of statistics on the balance of payments and international investment position, as well as methods and sources in EU Member States. They may also work on tasks related to the CSDB, which is a large micro database for security-related information. This includes the involvement in regular data quality assessment, the development of new tools for data monitoring and data analysis. In addition, trainees may be involved in the management of the ECB’s needs for commercial market data.
  • In the Monetary and Financial Statistics Division, they may work on the collection, compilation, statistical analysis and dissemination of monetary and financial statistics, such as bank balance sheets and monetary aggregates, securitisation statistics, insurance corporations and pension funds data, MFI interest rates, payment statistics, yield curves, financial markets data, money market statistics and surveys, securities issues statistics, option-implied probability density functions and statistics required for financial stability analysis and systemic risk monitoring. In addition, trainees may also be involved in technical tasks related to data processing such as maintenance and development of tools in various programming languages (mainly FAME, R and VBA). Trainees may also take part in data analysis and support the development of new statistical products, such as analytical credit and credit risk datasets.
  • In the Statistical Information Services Division, they may work on programming (mainly FAME, JAVA, Perl and UNIX scripts), data loading, metadata maintenance, first-line support for the business area, maintenance of the hotline, testing of applications and many tasks in support of the publication process.
  • In the Supervisory Statistics Division, they may assist in the receipt, quality management and reconciliation of supervisory data of credit institutions as well as in the production of derived statistics or indicators for the quantitative Risk Assessment System as well as for other statistical and analytical needs in the ECB. Furthermore, they may assist in organising and coordinating meetings and in setting up agendas of related international working groups and may contribute to the work of other international working and expert groups.
  • In the Statistics Development/Coordination Division, trainees may work on: (i) harmonising supervisory data for macro-prudential purposes; (ii) reconciling statistical and supervisory reporting requirements (including related legal aspects); (iii) developing and maintaining statistical datasets for financial stability purposes; (iv) securities holding statistics; (v) securitisations; (vi) international payment cards and credit derivative statistics, including work arising in the area of securities markets and financial infrastructures; and (vii) preparing material for senior management including speeches and presentations.
    In addition, trainees may be involved in the development and regular running of the joint European Commission/ECB survey on SMEs’ access to finance and the Eurosystem Household Finance and Consumption Survey.

Qualifications and experience:

Applicants must have the following knowledge and competencies:
The traineeships are aimed at those who have at least a bachelor’s degree (completed or close to finalisation) or equivalent in economics, econometrics, statistics, mathematics, finance or other relevant disciplines (e.g. computer science).

  • a fluent command of English with proven drafting ability;
  • a good 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, PowerPoint and Access);
  • familiarity with a statistical or mathematical software package and related computer programming experience (Stata, Matlab, R, SAS, VBA or equivalent) and/or relational databases (Oracle, DB2, MySQL or equivalent) would be a major asset;
  • ideally, knowledge of, or experience in, financial instruments, institutions and markets, as well as in statistical methods;
  • knowledge of economic statistics and/or international statistical, accounting or supervisory standards would be an important additional asset;
  • familiarity with data analysis, advanced data analytics and/or data management would be an asset;
  • experience in analysing the data and reporting needs of business areas/users, documenting these needs and preparing the data and reports for business users would be an asset.


The successful candidate will have the following behavioural competencies:

  • has analytical and quantitative skills, and a proven ability to deliver results and provide innovative solutions to problems;
  • communicates effectively, presenting complex issues in a clear and concise manner;
  • shares information and supports colleagues in the attainment of common goals;
  • can work independently, under the guidance of a mentor, using their initiative and interacting with other members of staff;
  • examines critically and applies relevant approaches geared towards successful solutions;
  • analyses complex datasets from diverse sources.
Further Information:

Traineeship of three to six months, with the possibility of an extension to up to 12 months in total.

Further information:

Closing Date for Applications: Mon, 29 Sep 2014

This position has been allocated to salary band:

Functional area: Statistics

Reference: 2014-266-TRA EXT