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 28.10.2026
Your team
Your role
- use and manage large confidential transaction-level datasets, applying econometric and mathematical methods and using data visualisation software;
- contribute to building and maintaining databases and developing analytical tools and data visualisation techniques;
- support the collection, storage, management and sharing of information, explore new approaches to data analysis and propose solutions to technical issues;
- contribute to analytical and policy-related projects aimed at promoting efficient and integrated financial markets in the euro area and providing insights into key central bank functions;
- support assessments of financial market infrastructures’ compliance with regulatory requirements and analyse their risks and interconnectedness;
- contribute to briefings, memos, papers and reports on analytical and policy-related projects, and help present technical topics to non-technical audiences.
Qualifications, experience and skills
- a bachelor’s degree or higher in economics, business administration, econometrics, data science, computer science, engineering, finance, mathematics, statistics, physics or a related field;
- 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, business administration, econometrics, data science, computer science, engineering, finance, mathematics, statistics, physics or a related field;
- knowledge or practical experience of data management, mathematical, statistical or econometric software or programming languages (such as Excel, SQL, Stata, R, Python or MATLAB) and/or network analysis or data visualisation software (such as Tableau or Power BI);
- experience working with financial datasets and/or knowledge of financial instruments;
- proven ability to work with large micro-level datasets, including cleaning and preparing data for analysis;
- experience with panel data and/or time series econometric methods;
- knowledge and/or experience of payment systems, securities settlement, central counterparties and/or collateral management from an operational, regulatory or oversight perspective.
Further information
Application and selection process