Your role

As a trainee in the Fiscal Policies Division you will:

support research analysts and economists in our Division, contributing to both short-term tasks and long-term projects;

help maintain and develop the Division’s databases for monitoring fiscal developments and related macroeconomic and financial market indicators;

contribute to the enhancement of the Division’s forecasting, modelling and other analytical tools;

support the preparation of the Division’s regular internal and external products, including its contributions to the ECB’s Economic Bulletin, for instance by producing tables, charts, presentations and other analytical input in collaboration with other ECB business areas;

contribute to the Division’s research projects by conducting empirical analysis and macroeconomic modelling. 

The traineeship offers you excellent opportunities to improve your quantitative skills, be involved in analytical tasks and work closely with experienced economists. It also provides a unique opportunity to gain insight into policy issues within a central bank. 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 economics, finance, mathematics, statistics, data science, computer science, engineering or another related field;

experience with statistical, econometric and data science packages and programming languages (e.g. MATLAB, Python, R, Stata, Julia, EViews);

experience in processing and analysing fiscal, macroeconomic or financial market data and programming automated data tasks;

a good knowledge of the MS Office package;

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 higher (or master’s degree studies in the final stages of completion) in economics, finance, mathematics, statistics, data science, computer science, engineering or another related field;

strong programming skills in one or more programming languages (e.g. MATLAB, Python, R, Stata, Julia, EViews);

initial experience in applying machine learning algorithms or using AI tools for analytical purposes, with a strong interest in developing further expertise in this area.

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.