• 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.

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 Common European Framework of Reference for Languages.

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).