Your role

As a trainee, you will:

maintain, update and further develop large and complex data infrastructures used for identifying systemic risk, analysing macroprudential policy and analysing developments in the financial sector and the real economy;

develop visualisation tools and computer programs for efficient data processing and data analysis, while helping ensure users can access complex datasets;

participate actively in the general work of the Division, for example by (i) contributing to analyses for inclusion in regular internal reports and external publications such as the ECB’s Macroprudential Bulletin and Financial Stability Review, (ii) contributing – through data collection, research assistance and programming – to analytical projects focused on issues currently of interest to the Directorate General, and (iii) helping to prepare presentations and notes for the Division’s management and staff.

The position offers you excellent opportunities to familiarise yourself with macroprudential policy and financial stability in the euro area and to develop your technical skills by enabling you to participate in a variety of regularly performed tasks and projects. You will be able to develop your potential and will quickly make a real difference to the work of the Division. As a trainee, you will have the opportunity to work in a team alongside committed and highly qualified colleagues and leaders in the field of financial stability and macroprudential policy. You will be able to attend a wide range of seminars and will have access to the ECB’s library as well as its computing, programming and statistical resources. You will have the opportunity to network and engage with other employees, grow personally and expand your business knowledge. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.

Qualifications, experience and skills

Essential: 

a bachelor’s degree or higher in finance, economics, statistics, mathematics, engineering, business administration, physics, computer science or a related discipline;

a good understanding of and practical experience working with one or more programming languages and econometric software packages (e.g. R, Stata, MATLAB, Python and SQL);

a sound knowledge of statistical and econometric methods;

experience in preparing, handling and analysing datasets based on various data sources;

an advanced knowledge of the MS Office package, in particular Excel and PowerPoint;

an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the .

Desired: 

a master’s degree, or studies towards a master’s degree that are close to completion, in finance, economics, statistics, mathematics, engineering, business administration, physics, computer science or a related discipline;

experience in one or more of the following fields: econometrics (e.g. macroeconometrics, microeconometrics, time series analysis, financial econometrics, panel data econometrics and machine learning), modelling and programming; 

knowledge of financial sector analysis and financial policy and regulation, and/or knowledge of macroeconomics;

knowledge of bank balance sheet and bank-specific data analysis; 

experience of a broad range of standard databases of macroeconomic and financial data (e.g. the ECB Statistical Data Portal, Bloomberg, BankFocus, Orbis and MSCI Real Capital Analytics).

You are curious and eager to learn, and want to further develop your ability to analyse complex information. You are keen to collaborate with others, pursue team goals and learn from other people’s diverse perspectives. You strive to know and anticipate stakeholder needs, and will signal any need for change and propose alternative solutions.You are motivated to contribute to the ECB’s mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe. You are keen to be part of our team and to use your skills and competencies to achieve the aims of this position.