• Programme/Project Management: Gain an overall understanding of the delivery of the TC programme, the range and impact of activities carried out within the programme through, inter alia, on-job-training in project design and planning, project implementation under the human resource components within selected TC activities, project monitoring and evaluation, and project financial closure.
• Knowledge Management: Support the Programme Management Officer in the preparation of achievement reports for selected projects; gain hands-on experience in drafting "TC Web and Success Stories" in the region; training on related platforms used for managing projects in the TC cycle, i.e. PCMF, AIPS and TC PRIME.

Organizational & administrative support (60%)

The intern will learn office processes through supporting the current administration team in the following tasks. The person will have the opportunity to contribute to improvements in administrative ways of working in a dynamic, internationally dispersed unit comprising of around 40 people.

Trainings and learning events support:

• Learn and support teams in the organization and deployment of learning actions such as virtual classes support or face to face (catering, room booking, pedagogical material printing and laminating, communication with participants and facilitators)

• Provides support to the trainers for material ordering (specific, pedagogical or generic such as stationary)
• Ensures the updating of the international mobile staff learner in the HR Database (D635)

HR/Administrative follow-up:

• Provide support in the organization of recruitment & Administrative HR follow-up
• Provides support to the team to edit and follow up of contracts (team and providers), forms (IT, recruitment forms, etc.) and partnership agreements
• Ensures the updating of the L&D staff tracking table (HR Update)
• Organizes briefings and onboarding for new L&D members
• Follows up on other specific HR procedures as needed

Support of the Unit

• Supports the unit in the organization of meetings (i.e. the different weekly meeting or specific pillar meeting) including the preparation of agendas, taking minutes, the archiving of meeting documentation and follow up.
• Supports the unit in the management of information for the online knowledge management platforms such as Kompas and Share Point and manages the key tools for the organization of the unit
• Supports the preparation of documents and Presentations for either internal or external use (Edit and update specific communication tools such as the L&D Offer, L&D activity report)
• Update and maintain tags and search bar to improve learners’ access to the different training offerings.

Ad hoc support (30%)

• Upon request validated by manager, needs and interest the intern will be delegated specific tasks or dossier that he or she will manage.

University work (10%)

• Writing university assignments.

• You will perform evaluation, analysis, and interpretation of Phenotypic data to identify valuable traits and patterns.
• You will collaborate with the Breeding and trait discovery teams to develop the evaluation protocol and apply them accurately.
• Furthermore, you will conduct statistical analysis to assess the quality of the data collected and identify correlation with traits or patterns with genotypes.
• You will prepare clear and concise reports summarizing analysis results and recommendations. 

You will be part of either the Stress Test Modelling Division or the Systemic Risk and Financial Institutions Division in the Directorate General Macroprudential Policy and Financial Stability. 

In your role as trainee, you will be part of one of these Divisions, focusing on policy relevant analysis and model development. The precise nature of the traineeship will depend on your skill set and the team that you join.

As a trainee, you will:

• contribute to analyses for internal discussions related to key policy processes and external publications such as the Financial Stability Review;
• contribute to research on topics of interest to the Directorate General;
• help to prepare presentations, figures and charts for management and senior management;
• participate in analytical projects on topics of interest to the Directorate General by collecting data and helping with research, including code development;
• maintain, update and further develop databases for stress tests, systemic risk identification, macro-financial policy analysis, and financial and real sector developments;
• develop user visualisation tools and programs/code for efficient data processing, while facilitating user access to complex datasets;
• work with colleagues across the ECB to maintain and improve the IT systems used for stress testing.

The position offers you excellent opportunities to become more familiar with macroprudential policy and financial stability by working alongside experts on a variety of tasks and projects. You will be able to develop networking skills and business knowledge. You will also be able to attend a wide range of seminars and access the ECB’s computing, programming, statistical and library resources. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.

Depending on your educational background and field of interest, you could be:

• Supporting data collection, preprocessing, and analysis for various projects and initiatives like AI models, programme reporting or lifecycle assessment tools;
• Participating in the development, evaluation, and validation of machine learning models and algorithms;
• Acquiring knowledge of software tools for evaluating navigation infrastructure performance, supporting real-case assessments through simulations, and contributing to the ongoing development and validation of such tools;
• Engaging with stakeholders to design dashboards for data presentation, integrating relevant data sources, and conducting user testing sessions to gather feedback;
• Collaborating with cross-functional teams to identify opportunities for process improvement and innovation in data collection, preprocessing, and analysis.

Location: Brussels, Maastricht, Brétigny, Luxembourg