09/10/2026

European Central Bank, Traineeship in Quantitative Analysis - Directorate General Market Infrastructure and Payments

Organizzazione: ECB - European Central Bank
Sede: Frankfurt am Main, Germania
Durata: 6 mesi, estendibili fino a 12
Indennità: 1.170 euro mensili
Benefit: Indennità di alloggio
L'offerta scade il: 28/10/2026
Area professionale: Informatica/ICT Economia e finanza Engineering Statistica/Data Analysis Scienze naturali

Attività

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.

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.

Desired:

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.