Traineeship in the Fiscal Policies Division
Frankfurt
- Organization: ECB - European Central Bank
- Location: Frankfurt
- Grade: Internship - Traineeship - Only Open to EU Nationals
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Occupational Groups:
- Operations and Administrations
- Banking and Finance
- Closing Date: 2025-04-29
General Information
Type of contract Traineeship
Who can apply? EU nationals eligible for our traineeship programme
Grant The trainee grant is €1,170 per month plus an accommodation allowance (see further information section)
Working time Full time
Place of work Frankfurt am Main, Germany
Closing date 29.04.2025
Your team
Your role
- 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.
Qualifications, experience and skills
- a bachelor’s degree or higher in economics, finance, mathematics, statistics, data science, computer science, engineering or a related field;
- experience with statistical, econometric and data science packages and programming languages (e.g. MATLAB, Python, R, Stata, Julia or EViews);
- experience of 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 Common European Framework of Reference for Languages.
- a master’s degree or higher in economics, finance, mathematics, statistics, data science, computer science, engineering or a related field, or master’s degree studies in these subjects that are in the final stages of completion;
- strong programming skills in one or more programming languages (e.g. MATLAB, Python, R, Stata, Julia or 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.
Further information
Application and selection process
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.