ESRB Traineeship 2021 - Data Scientist Profile

You will be part of the Secretariat of the European Systemic Risk Board (ESRB), a body of the European Union.

The ESRB brings together representatives from some 80 institutions as well as independent experts. It is responsible for the macroprudential oversight of the EU financial system and thus contributes to preventing and mitigating systemic risk. It collects and analyses information on a wide range of financial institutions and markets, monitors macro-financial developments, and issues warnings and recommendations to policymakers and supervisors. Further information is available on the ESRB's website.

The ESRB Secretariat is part of the European Central Bank (ECB). The Secretariat provides analytical, statistical, logistical and administrative support to the ESRB. Our tasks include identifying and analysing systemic risks to the EU financial system, assessing and proposing macroprudential policies, preparing ESRB warnings/recommendations and monitoring their implementation, cooperating with supervisory and other macroprudential authorities, supporting ESRB working groups and preparing documents for meetings of the ESRB General Board.

In your role as a Data Scientist Trainee, you will be part of a team of five members of staff that collects, processes and analyses several large-scale granular datasets related to various components (sectors, markets and activities) of the EU financial system. These datasets include, among others, highly granular transaction-level data on derivatives and securities financing transactions.

The ECB is an inclusive employer and we strive to reflect the diversity of the population we serve. We encourage you to apply, irrespective of your gender, gender identity, ethnicity, sexual orientation, age, religion, disability or other characteristics.

Your role

As a Data Scientist Trainee you will:

contribute to our analytical work, with a focus on large-scale granular datasets, by translating this wealth of information into policy and research insights;
improve existing analytical models and develop new ones, also drawing on the most recent research, with a focus on network analysis, stress testing, contagion modelling and machine learning applications;
support the development of the team's internal framework for data science, including knowledge management, also by contributing to and maintaining the internal codebase;
present results and insights to management and other stakeholders in internal and external meetings.
The position offers you an excellent opportunity to work on exclusive granular datasets, leveraging on advanced modelling frameworks in systemic risk analytics. You will actively contribute to the understanding of the EU financial system, the monitoring and measurement of systemic risks, and the development of analytical tools to inform policy development. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.