Traineeship in Market Operations
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
- Sustainable trade and development
- Sustainable Business Development
- Closing Date: 2025-10-21
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 21.10.2025
Your team
Your role
- collect and process data;
- investigate and integrate data from different sources;
- visualise and communicate findings using tools such as Tableau, Power BI or Python;
- assist professional teams in developing IT applications.
- working closely with financial market experts to prepare high-impact briefings and presentations that directly influence key decisions;
- supporting market intelligence and longer-term analytical projects with valuable data insights;
- developing data-driven quantitative tools for market analysis and fostering the adoption of common analytical methods across the Directorate General.
- monitoring and analysing the performance of the Eurosystem monetary policy implementation framework and its impact on the Eurosystem’s balance sheet, and helping to prepare related policy proposals;
- learning about and helping to maintain and enhance the Eurosystem’s collateral and counterparty frameworks by performing data analysis, testing software and improving internal business intelligence reporting;
- working closely with our experts to adapt the Eurosystem monetary policy implementation framework to the challenges of climate change and the application of climate change-related sustainable and responsible investment principles in Eurosystem non-monetary policy portfolios.
- driving innovation in business processes by leveraging automation, new technologies and data analytics and visualisation tools;
- engaging in a range of machine learning and AI projects, including sentiment analysis, building LLM-powered systems and performing statistical inference;
- analysing and configuring financial instruments in the ECB’s treasury management system and supporting users to ensure operations run smoothly;
- developing, executing and organising manual and automated testing.
- supporting the Division’s activities in relation to various ECB portfolios (foreign reserves, monetary policy and own funds);
- contributing to various regular reports on financial markets, covering e.g. developments in major bond, equity and foreign exchange markets;
- assisting with the production of ad hoc analyses and summaries of meetings with external counterparties, in particular investment banks;
- analysing bidding behaviour in the ECB’s monetary policy operations, examining changes in the Eurosystem balance sheet and investigating the effects of monetary policy decisions on liquidity conditions and money market rates.
Qualifications, experience and skills
- a bachelor’s degree or higher in finance, economics, econometrics, STEM (science, technology, engineering and mathematics) or a related discipline;
- a basic understanding of financial markets and ECB monetary policy operations;
- experience using one or more programming or query languages or tools used in economic and financial analysis (e.g. SQL, Python, R, MATLAB, Stata, VBA or Java);
- experience preparing, analysing and visualising complex data (e.g. financial market data, transaction-level data, micro data, high frequency data or survey data);
- 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 in finance, economics, econometrics, STEM or a related discipline;
- experience with market data services such as Bloomberg, Thomson Reuters/Refinitiv (Eikon and/or DataStream);
- an advanced knowledge of MS Excel;
- experience using one of the following: Tableau, Power BI.
Further information
Application and selection process
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.