Your role
As a Supervision Analyst in the Banking Supervision Data Division you will:
1. maintain databases and information sources by gathering supervisory data and information, and monitoring data quality;
2. provide technical input for developing frameworks, standards and policies, while focusing on supervisory reporting by conducting research and analysing input;
3. help update and maintain the quality framework for supervisory data;
4. improve supervisory databases and applications by developing and testing system capabilities and analytical tools and by identifying and solving issues;
5. maintain the list of key risk indicators and strengthen the technical infrastructure for calculating and disseminating data;
6. develop and maintain risk dashboards for ECB Banking Supervision colleagues;
7. enhance and help automate dashboard production processes;
8. produce and publish quarterly and ad hoc aggregated supervisory banking statistics on significant and less significant institutions.
As a Data Science Analyst in the Securities and Financial Markets Data Division you will:
9. manage the efficient reception, processing, quality checking and dissemination of derived indicators and data, including real-time high-frequency market data;
10. help develop, maintain and test the respective IT systems and associated software, using pipelines and tools for version control and collaboration features;
11. help design and implement new datasets and derived financial market indicators;
12. develop, implement and automate procedures for data quality management, including outlier detection and pattern recognition;
13. support and interact with data providers and end users across the ECB, the Eurosystem and other international organisations;
14. manage data, knowledge and information to ensure they are shared effectively.
For these roles we are seeking candidates who demonstrate the potential for growth, and we will support the selected candidates in their development of the required skills.These positions offer you excellent opportunities to use the latest technology, ideas and approaches to support the Directorate General in responding to a growing need for high quality and timely data. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.
Qualifications, experience and skills
Essential criteria :
15. a bachelor’s degree or equivalent in statistics, economics, banking, finance, business administration, data science, computer science or another relevant field (see for details on degree equivalences);
16. in addition to the above, at least one year's professional experience working in data management in the field of statistics, financial analysis, risk management, market operations or supervision, including extracting and transforming data to create derived data or validating data to ensure they are fit for purpose;
17. strong programming skills, particularly in Python as well as in either R or SQL, and proven experience of applying these skills to business processes;
18. a proven ability to analyse and interpret complex data sets and summarise and present results;
19. an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the .
Desired criteria for all roles:
20. experience using tools for managing the software development and testing processes in the deployment of IT systems;
21. good knowledge of databases, data integration and automation;
22. experience with data visualisation and/or tools such as Tableau, Shiny for R, Streamlit or Power BI.
Desired criteria for the Supervision Analyst role in the Banking Supervision Data Division:
23. a good understanding of the roles and responsibilities of the authorities forming the European System of Financial Supervision;
24. knowledge of the supervisory reporting framework applicable to EU credit institutions (e.g. the European Banking Authority’s Implementing Technical Standards).
Desired criteria for the Data Science Analyst role in the Securities and Financial Markets Data Division:
25. sound understanding and experience of working with financial markets and instruments, ideally managing high-frequency market data and systems;
26. experience using data from market data vendors such as Bloomberg or LSEG (formerly Refinitiv/Thomson Reuters).
You engage collaboratively with others. You pursue team goals and learn willingly from other people’s diverse perspectives. You signal any need for change by explaining it and proposing alternative solutions. You analyse complex information effectively and can evaluate different views to arrive at solutions. You know and anticipate stakeholder needs.You are motivated to contribute to the ECB’s mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe.You are motivated to be part of our team and to develop and use your skills and competencies to achieve the aims of this position.
Working modalities
We would be happy to discuss a part-time arrangement for these roles.