EIB, Trainee - Digitalization and Process Automation (Equity Eligibility)

Your overall objective will be to: 

• Automate and strengthen eligibility reviews of new EIF equity investees by implementing automated controls for data quality and eligibility requirements including size thresholds, geographic criteria and activity‑based restrictions.
• Enhance efficiency of eligibility processes through workflow automation, external data quality validation and the use of AI‑enabled tools.

Responsibilities

Under the guidance and close cooperation with the teams Senior Officers, you shall:

• Support workflow automation and process improvement for eligibility reviews by designing and implementing data‑driven controls, including the automation of control testing workflows using analytics and visualisation tools such as Alteryx (preferred), Tableau, Power BI and Excel Power Query.
• Perform analytical eligibility and data quality checks on new equity investees, leveraging external data sources and strong problem‑solving skills to support automated assessments to improve the efficiency and consistency of eligibility reviews.

• University degree (or ongoing studies) in AI, Computer Science, Information Systems, Business Analytics, Data Science, Finance, Economics or another relevant discipline. Candidates may be enrolled in the final year of a Master’s degree. 
• Background in digital transformation and process optimisation, gained through academic projects or practical experience, with exposure to automation, analytics.
• Practical technical skills in data analysis and automation tools, including Alteryx, Tableau, Power BI and/or Excel Power Query, combined with solid working knowledge of Microsoft 365 applications (Excel, SharePoint, Teams, PowerPoint) to support automated workflows and process improvements.
• Excellent knowledge of written and spoken English. Good command of another EU language would be an advantage.
• Junior‑level candidate with strong analytics and automation aptitude
• Strong analytical and problem-solving skills. 
• Ability to organise own work, manage priorities and deliver high-quality output within deadlines. 
• Good communication skills, both written and oral. 
• Proactive attitude, curiosity and willingness to learn new tools and methodologies. 
• Good interpersonal skills and ability to work effectively with colleagues across teams. 
• Attention to detail and ability to handle sensitive information with discretion.