• Contribute to analytical and policy-related projects aimed at fostering efficient and integrated financial markets in the euro area and obtaining insights into key central bank functions;
• help to assess whether financial market infrastructures meet regulatory requirements, analysing their risks and interconnectedness;
• use and manage large confidential transaction-level datasets, employ econometric, mathematical and visualisation software, help to build and maintain databases and support the development of analytical tools and visualisation techniques;
• support the collection, storage, management and sharing of information in your area of responsibility, exploring new approaches for analysis and proposing creative solutions for technical issues;
• contribute to briefings, memos, papers and reports on analytical or policy-related projects, while also supporting presentations of technical subject matter to non-technical audiences.

Essential:

• a bachelor’s degree or higher in economics, business administration, econometrics, programming, 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, programming, computer science, engineering, finance, mathematics, statistics, physics or a related field;
• working knowledge or practical experience of data management tools (ideally Excel or SQL), mathematical, statistical and econometric packages (such as Stata, R, Python or MATLAB) or other programming languages, network analysis software packages and/or data visualisation software (e.g. Tableau);
• experience of working with financial datasets and/or knowledge of financial instruments;
• experience of working with, cleaning and operationalising large micro-level datasets;
• experience with panel data and/or time series econometrics;
• knowledge and/or experience of payment systems, securities settlement, central counterparties and/or collateral management from an operational, regulatory or oversight perspective.