EIB Trainee - Information Systems Directorate - Collateral & Market Data Management Unit - base[...]

EIB Trainee - Information Systems Directorate - Collateral & Market Data Management Unit - based in Luxembourg

This position is based at our Luxembourg headquarters and requires regular office presence. The EIB offers you the opportunity to live and work in a truly international and
- cultural environment.

Duration: 5 months (fixed start date: 1st March/April 2026)

Possible extension up to 6 months if required by University

Only applications from nationals of the Member States of the European Union, as well as citizens from countries that have been officially granted candidate status to join the EU (Albania, Bosnia and Herzegovina, Georgia, Moldova, Montenegro, North Macedonia, Serbia, Turkey and Ukraine), can be considered.

Candidates whose Erasmus+ programme overlaps with the duration of the traineeship will not be considered.

You are requested to limit your applications to a maximum of three traineeship publications. We will only consider and retain the first three applications submitted.

Objective of the traineeship

• First, to contribute to the continuous improvement of the automated testing landscape in the market data domain within the bank. Key focus will be on the increase of automated testing coverage (by adding new asset types to the existing scope), technical evolution and optimisation of the existing testing infrastructure, and support with the definition of robust processes around automated test scheduling, executing, monitoring, and reporting.
• Second, to enhance operational intelligence for decision making by integrating machine learning techniques and tools for model training and predictive analytics in the market data domain, leveraging on the bank's large market data sets.

Responsibilities

• Review and enhance existing test cases and scripts in close collaboration with project and operational resources on IT and business side.
• Create new test cases and scripts together with subject matter experts.
• Improve existing technical testing infrastructure (using Python, Azure Dev
  Ops, Kafka, and REST), guided by an internal solution architect.
• Support refinement of automated test procedures and reporting in collaboration with a specialized test and defect manager.
• Establish a scalable data pipeline to ingest, process, and analyse large volumes of market data, suitable for robust model training, to gain analytics insights.
• Apply machine learning techniques tailored to market data to gain predictive insights and allow market behavior forecasting.
• Support operationalization of predictive analytics workflows by embedding model outputs into decision making.

Academic Qualifications And Professional Skills

• Final year of studies or University degree in Computer Science, Physics, Mathematics, Engineering, Quantitative Finance, or a related field.
• Demonstrated experience in machine learning and (big) data analytics would be an advantage.
• Knowledge of Python and SQL, standard data analytics packages utilising Python, Kafka, REST, Azure Dev
  Ops would be an advantage.
• Knowledge of market data (bond prices, FX & interest, volatilities) would be an advantage.
• Excellent knowledge of written and spoken English. Knowledge of other EU languages would be an advantage.

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 EIB Traineeship Recruitment team hr_traineeship_recruitment@eib. org who will ensure that your request is handled.

Applications Deadline

Deadline for application is on the November 18th, 2025.

More information on our EIB Traineeship Programme and Provisions for In-service training can be consulted on our EIB website; https://www.eib. org/en/about/careers/categories/traineeship-and-graduate. htm