You will be part of either the Stress Test Modelling Division or the Systemic Risk and Financial Institutions Division in the Directorate General Macroprudential Policy and Financial Stability. 

In your role as trainee, you will be part of one of these Divisions, focusing on policy relevant analysis and model development. The precise nature of the traineeship will depend on your skill set and the team that you join.

As a trainee, you will:

• contribute to analyses for internal discussions related to key policy processes and external publications such as the Financial Stability Review;
• contribute to research on topics of interest to the Directorate General;
• help to prepare presentations, figures and charts for management and senior management;
• participate in analytical projects on topics of interest to the Directorate General by collecting data and helping with research, including code development;
• maintain, update and further develop databases for stress tests, systemic risk identification, macro-financial policy analysis, and financial and real sector developments;
• develop user visualisation tools and programs/code for efficient data processing, while facilitating user access to complex datasets;
• work with colleagues across the ECB to maintain and improve the IT systems used for stress testing.

The position offers you excellent opportunities to become more familiar with macroprudential policy and financial stability by working alongside experts on a variety of tasks and projects. You will be able to develop networking skills and business knowledge. You will also be able to attend a wide range of seminars and access the ECB’s computing, programming, statistical and library resources. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.

Essential:

• a bachelor’s degree or higher in economics, finance, statistics, data science, mathematics, engineering, business administration, physics, computer science or a related field;
• a sound understanding of and practical experience with one or more programming languages and econometric software packages (e.g. Python, R, MATLAB, Stata or SQL);
• a sound knowledge of statistical and econometric methods and the ability to present data and results;
• experience in data management, data handling and analysis of multidimensional datasets;
• a good knowledge of the MS Office package, particularly Excel;
• 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 master’s degree studies in their final stages of completion) in economics, finance, statistics, data science, mathematics, engineering, business administration, physics, computer science or a related field;
• experience with econometric techniques in one or more of the following areas: macroeconometrics, microeconometrics, time series analysis, panel data econometrics, financial econometrics and empirical banking;
• experience with state-of-the-art modelling tools (e.g. DSGE models, network analysis and mathematical optimisation models);
• a sound understanding of financial statement analysis (e.g. balance sheets of banks and other financial institutions) or derivative pricing;
• experience with macroeconomic, financial, banking, corporate or climate-related statistics at the sector or micro-level, including familiarity with standard databases (e.g. Refinitiv Eikon, Bloomberg, BankFocus and Haver Analytics) or big data.