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Data Quality Expert – Data Management & Governance

Deutsche Börse Group · Luxembourg

Senior 🇬🇧 English
Python SQL

Job description

About the role

As a member of the newly created Data Management & Governance team, you will lead the roll‑out of Deutsche Börse’s data governance programme across several business segments. You will become the main point of contact for a dedicated workstream, guiding businesses through transformation and ongoing maintenance.

Key responsibilities

  • Define and develop the data quality framework, policies, standards and procedures.
  • Collaborate with business units, IT and other functions to conduct data quality assessments and prototype KPIs.
  • Support the definition of enterprise‑wide data quality monitoring solutions and ensure consistency across data domains.
  • Work with stakeholders to implement monitoring tools, operationalise solutions and transition them to business‑as‑usual.
  • Facilitate resolution of data quality issues and drive continuous improvement.
  • Report progress to senior management and maintain comprehensive documentation.
  • Assist with impact assessments and queries related to data governance.

Required profile

  • Degree in a quantitative discipline (e.g., Quantitative Finance, Statistics, Computer Science, Engineering).
  • Minimum 7 years of experience in quantitative roles focused on data governance, data quality or data analytics.
  • Strong understanding of data‑quality dimensions and enterprise‑wide data‑quality steering.
  • Good knowledge of financial markets and post‑trade processes (advantageous).
  • Solid background in statistics and econometric methods.
  • Excellent written and spoken English; German or French is a plus.

Required skills

  • Python
  • R
  • SQL

Questions fréquentes

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Published 2 months ago

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Deutsche Börse Group

Luxembourg