Trainee

The European Investment Fund (EIF) is seeking to recruit for its Compliance & Non-Financial Risk Department at its headquarters in Luxembourg, two trainees.

Duration: 5 months & Starting date: March 2026

Specific Post Environment:

The Compliance & Non‑Financial Risk Department is responsible for safeguarding EIF against regulatory, operational and reputational risks. The department provides compliance advisory support, performs independent reviews on applicable regulatory requirements, compliance risk assessments, supports AML/CFT reviews, sanctions screening, sustainability risk, tax compliance assessments and ensures adherence to regulatory and internal control requirements across EIF activities.

As part of the AI‑Enabled Compliance Risk Assessment Pilot Program, the intern will contribute to the development of AI‑assisted tools supporting the development of a modern compliance control eco-system through automated assurance activities, data migration and compliance workflows using Microsoft Copilot, Copilot Studio and structured/unstructured data analysis.

Overall Objective:

• Explore automation, digital workflows, and GenAI concepts to identify high-value opportunities and support the future design of EIF’s compliance control framework.
• Build functional AI agents and automation tools using Copilot to actively optimize the identified compliance processes, translating concepts into tangible solutions.

Responsibilities:

Under the guidance of the Compliance Lead and the Data & AI Advisor, the intern shall:

• Use Microsoft Copilot, Copilot Studio, and Power Automate to develop custom AI tools that streamline workflows, process documents, and extract relevant data across various compliance domains.
• Support the integration of manual compliance processes into core IT systems, exploring opportunities for using GenAI to map regulatory requirements and automate internal control testing.
• Implement workflow automations, make testing, manage document ingestion processes, and set up effective human-in-the-loop validation cycles.

Expected Outcomes:

• Delivery of fully functional AI agents or automated workflow solutions tailored to compliance needs.
• Structured documentation includes architecture, prompt engineering structures, data flows and validation logs.
• A final evaluation report and presentation to EIF management and academic supervisors.

Qualifications:

• University degree (or ongoing studies) in Data Science, Computer Science, Artificial Intelligence, Business Intelligence, Applied Mathematics, Finance, Law, or similar.
• Knowledge or coursework in machine learning, NLP, data processing, auditing, compliance or risk analysis.
• Strong analytical and numerical skills.
• Experience or interest in prompt engineering, Copilot tools, or workflow automation.
• Strong analytical and numerical skills, with proficiency in Microsoft tools.
• Excellent command of English; another EU language is an advantage.

Competencies:

• Capacity to learn quickly.
• High attention to detail and strong sense of ethics.
• Good communication skills.
• Strong organizational skills.
• Team‑oriented mindset.

Deadline for applications: 22 February 2026

• Due to high volume of applications, only candidates selected for interviews will be contacted.

We are an equal opportunities employer, who believes that diversity is good for our people and our business. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation/identity, disability or neurodiversity.

Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact the EIF Recruitment team Recruitment@eif.org who will ensure that your request is handled.

By applying for this position, you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position you agree to comply with all measures (policies, controls, document classification and management)