Data Quality Specialist (M/F/X)

Your missions:

• Ensure the consistent application of data quality standards and checklists across internal and external stakeholders


• Monitor the quality, consistency, and reliability of data used for risk modelling, portfolio monitoring, and reporting activities


• Develop and maintain automated solutions to transform Excel and XML files into structured, validated, and auditable datasets


• Test and validate AI-driven solutions designed to automate data quality controls and validation processes


• Assess AI-generated outputs, identify discrepancies, and contribute to the continuous improvement of AI tools


• Apply data transformation and treatment rules to historical datasets to improve consistency and comparability over time


• Perform data cleansing, reconciliation, standardisation, and enrichment activities


• Document data transformations, business rules, quality controls, and validation procedures to ensure transparency and traceability


• Analyse data quality trends and recurring issues, and recommend corrective actions and process improvements


• Develop dashboards, monitoring tools, and analytical reports to support decision-making


• Collaborate closely with Risk, Data, IT teams, the European Commission, and external partners to strengthen data governance practices


• Contribute to the implementation of a reliable and auditable data repository supporting modelling, monitoring, and reporting activities

Your profile:

• University degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline


• Minimum 3 years of professional experience in data analytics, data quality, data governance, data engineering, or data management


• Proven experience in data transformation, validation, cleansing, and quality assurance activities


• Strong proficiency in SQL and Python is required


• Knowledge of Power BI, XML processing, advanced Excel, R, or SAS would be considered an asset


• Exposure to artificial intelligence technologies, AI testing, or validation of automated solutions is considered an advantage


• Experience working with large and complex datasets within a financial, banking, or risk management environment is a plus


• Ability to collaborate with multiple stakeholders and translate business requirements into data-driven solutions


• Strong analytical and problem-solving skills with excellent attention to detail


• Organised, autonomous, and results-oriented mindset


• Excellent command of English and/or French with a good knowledge of the other language; additional EU languages are considered an asset

Please note that this assignment may be extended, in accordance with Luxembourgish law, for a maximum duration of one year.

Interested in this opportunity? Apply now!