Traineeship in the Directorate General Statistics at European Central Bank
August 22, 2017
Traineeship in the Directorate General Statistics in European Central Bank
Closing Date for Applications:Thu, 28 Sep 2017
You will be part of the Directorate General Statistics (DG/S). We develop, collect, compile and disseminate macro and micro data, master data, statistics, statistical indicators and metadata. We provide related user support services required for monetary policy, banking supervision and the other tasks of the European Central Bank (ECB), the European System of Central Banks (ESCB) and the European Systemic Risk Board (ESRB). We thereby define the concepts and methods and determine the master data for entities and transactions. We also provide centralised market data services and develop financial market databases, e.g. for yields and credit risk. We develop and manage statistical applications and tools, databases and processes for the management and exchange of data. We contribute to European and international standards related to statistics and data.
The organisational structure of DG/S consists of six divisions and one section.
Analytical Credit and Master Data Division:
The Division develops and manages the analytical credit and credit risk (AnaCredit) dataset. It collects, compiles and disseminates granular data and relevant statistics, and provides advice on issues related to credit and credit risk data. It also develops and manages the Register of Institutions and Affiliates Database (RIAD) and the Single Data Dictionary (SDD) to describe commonly used datasets with an agreed set of metadata, thereby facilitating data integration. It works towards the reconciliation of statistical reporting requirements of credit institutions and coordinates the design of a European reporting framework.
Securities and Financial Markets Data Division:
The Division manages the Centralised Securities Database (CSDB), develops, compiles and disseminates securities issues statistics and provides related user services on securities issuances and ratings. It also manages the Securities Holdings Statistics Database and compiles granular data and statistics on holdings of securities by economic sector and by banking group. It develops, compiles and disseminates data and statistics regarding the money market, and provides centralised market data services and financial markets data. Finally, the Division collects other regulated market data, e.g. on derivatives from trade repositories, and compiles the related statistics.
Banking Supervision Data Division:
The Division develops, collects, compiles and disseminates the datasets and quantitative risk reports for supervisory purposes. This entails the coordination, quality management and reconciliation of supervisory data of credit institutions, including those based on the implementing technical standards of the European Banking Authority (EBA).
The Division produces derived statistics and indicators for the quantitative risk assessment system (RAS), as well as for other statistical and analytical needs at the ECB, and provides the SSM with a reliable assessment of banks’ data quality (as part of the Supervisory Review and Evaluation Process (SREP) and a number of related dashboards and reports. It also supports the SSM in other specific data collections, e.g. stress-testing exercises and more in-depth monitoring of individual banks. Lastly, the Division contributes to the further development and harmonisation of supervisory information in close collaboration with other areas of ECB Banking Supervision and in cooperation with the EBA.
Monetary and Economic Statistics Division:
The Division develops, compiles and disseminates statistics regarding financial corporations, financial stability and financial integration, and provides related user services. This includes (i) monetary aggregates, their counterparts and other monetary statistics, including minimum reserve and liquidity statistics; (ii) bank interest rates statistics; (iii) statistics on other financial corporations; (iv) statistics and indicators on financial soundness, including on macroprudential aspects; and (v) payments statistics.
The Division also develops, compiles and disseminates statistics, and provides related user services, on general economic statistics, including prices and costs, short-term business statistics, labour market statistics, economic tendency surveys and other statistics on the non-financial sectors. This includes surveys (i) on the access to finance of enterprises (SAFE) and (ii) on household finance and consumption (HFCS). The Division coordinates the ECB’s contribution to the further development and harmonisation of the above statistics across the EU.
External Statistics and Sector Accounts Division:
The Division develops, compiles and disseminates external statistics for the euro area and provides related user services. These statistics include the balance of payments, the international investment position, foreign reserves and related assets of the Eurosystem and the ECB, and other external statistics such as effective exchange rates, harmonised competitiveness indicators and statistics on the international role of the euro.
The Division also develops, compiles and disseminates macroeconomic financial and non-financial sector accounts for the euro area. This includes financial balance sheets and transactions, as well as non-financial data on the income, savings and investment of households, non-financial corporations, financial corporations and governments. It provides related user services and disseminates these statistics for all EU countries, together with related national accounts statistics (GDP etc.). The Division also develops, compiles and disseminates government finance statistics and coordinates the ECB’s contribution to the further development and harmonisation of the above statistics across the EU and in international fora.
Statistical Applications and Tools Division:
The Division develops and applies statistical applications and tools for collecting, producing and managing the ECB’s macro statistics databases and survey data. It implements best practices and optimises data exchange processes and standards (SDMX, XBRL) for the collection, processing and dissemination of statistical and supervisory data.
The Division supports the dissemination of statistics to internal and external users, produces statistical publications, and supports the visualisation of macro and micro data. It also develops and maintains applications for the collection, compilation and dissemination of micro data, including supervisory data.
Data Integration and Services Section:
The Section provides a focal point for data integration within the ECB and offers shared data services, coordinated by the ECB’s Data Committee. It also coordinates cross-cutting matters, monitors the implementation of DG/S’s medium-term strategy and coordinates relations with the European Statistical System and other international fora.
As a Trainee you will:
- participate actively in the work of one of the divisions or of the section;
- gain an insight into conceptual, methodological and operational work on statistics in a policy-oriented environment;
- work in a team and/or independently (under the guidance of a mentor), taking the initiative and interacting with other members of staff.
Typically, around 40 trainees are recruited to contribute to different tasks and projects each year. Some examples are given below.
- In the Analytical Credit and Master Data Division, trainees may work on the day-to-day management, processing and quality checking of statistical master and granular credit data, compiling data and disseminating results, and may contribute to the development and maintenance of data systems. Work may also include cooperating with the banking industry to design the Banks’ Integrated Reporting Dictionary and reconciling statistical and supervisory reporting requirements.
- In the Securities and Financial Markets Data Division, trainees may contribute to tasks related to the development and operation of large micro databases covering securities, ratings data as well as money market and derivatives transactions. This could include involvement in regular data quality management, the development of economic indicators or new tools for data monitoring and data analysis using programming languages such as R, VBA and SQL. In addition, trainees may be involved in the management of commercial market data required by the ECB. Trainees will be in contact with various stakeholders in the ECB and ESCB as well as with commercial data suppliers.
- In the Banking Supervision Data Division, trainees may assist in the receipt, quality management and reconciliation of supervisory data of credit institutions and in the production of derived statistics and indicators for the RAS, as well as for other statistical and analytical needs within the ECB. They may assist in organising and coordinating meetings and producing agendas for international working groups, and may contribute to the work of international working groups.
- In the Monetary and Economic Statistics Division, trainees may work on the receipt, processing and dissemination of various statistical datasets. This may include statistics on banks’ balance sheets and bank interest rates, as well as on other financial corporations, datasets for financial stability purposes and for payment instruments and systems. Trainees may also work on general economic statistics, such as price and output statistics. In addition, they may be involved in the SAFE and HFCS surveys. Trainees may undertake analytical as well as technical tasks, the latter involving the collection and compilation of statistics and the maintenance and development of tools in various programming languages (incl. R, VBA and SAS).
- In the External Statistics and Sector Accounts Division, trainees may work on monitoring the quality of statistics on the balance of payments and international investment position, sector accounts and government finance statistics. They may contribute to work on compiling, analysing and improving these statistics (e.g. on systems for outlier detection, on the analysis of sectoral balance sheets, or on credit and debt statistics), comparing statistics and methods across countries and developing new publication formats.
- In the Statistical Applications and Tools Division, trainees may contribute to the work on one or more of the following activities: explore new technologies in the field of data science and machine learning which could be used in the applications developed by the division; develop and maintain existing specialized statistical software using FAME, Java, SAS, Perl, SQL, VisualBasic, Python and UNIX scripts; contribute to the development and testing of the statistical applications; support the data reception and dissemination processes, metadata maintenance and definition. They may also offer user support; take part in the development of web-based analytical platforms, dashboards and reports using state-of-the-art data visualization with Tableau.
- In the Data Integration and Services Section, trainees may support work on establishing the data governance and processes, semantics and information system architecture required for integrated management of granular data across the ECB. They may also help prepare material for senior management, including speeches and presentations, as well as operate the Statistics hotline.
Qualifications and experience:
You will bring to the role:
- a bachelor’s degree or higher in economics, econometrics, statistics, mathematics, finance, computer science or other relevant discipline.
- an advanced 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 working knowledge of MS Office (in particular Word, Excel and PowerPoint);
- familiarity with a statistical or mathematical software package and related computer programming experience (Access, Stata, MATLAB, R, SAS, VBA or equivalent) and/or relational databases (Oracle, DB2, MySQL or equivalent) would be a major asset;
- knowledge of financial instruments, institutions and markets, as well as statistical methods, would be a major asset;
- knowledge of economic statistics and/or international statistical, accounting or supervisory standards would be an additional major asset;
- familiarity with data analysis, advanced data analytics and/or data management would be an additional asset;
- familiarity with dynamic programming languages (Java, Perl or equivalent) would be a major asset for work in the Statistical Applications and Tools Division;
- familiarity with the techniques and approach for the management of large data sets, data modelling and analysis of unstructured data (“big data”) would be an additional asset.
You will also bring your ability to analyse complex data, communicate clearly and effectively, work independently, prioritise, pay attention to detail, share information, support team members and ensure timely and responsive action.
Traineeship of between three and six months, with the possibility of an extension to up to 12 months in total in the same business area.
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:
Further information on the ECB's traineeships can be found via the above link.
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.