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Data Risk Management Specialist

3 weeks ago


Copenhagen, Copenhagen, Denmark Danske Bank Full time

About the Role:

We are seeking a highly skilled Data Risk Management Specialist to join our IT, Security & Data Risk team within the second line of defence (2LoD) function at Danske Bank.

This key role involves building procedures and processes for data risk management, including maintaining key risk data that helps 2LoD in monitoring and oversight. The successful candidate will drive, build, and maintain the risk data foundation for the risk type 'Data Risk', as well as communicate with stakeholders on the ongoing work throughout the bank related to Data Management and Data Governance.

The focus is on 2LoD risk management responsibilities. We aim to meet the requirements of our customers and society and live up to regulatory requirements. By establishing a strong risk culture, we create trust, maintain integrity, and lay the foundation to become the customers' preferred financial partner.

Key Responsibilities:
  • Provide a solid understanding of and guidance within Data Risk Management
  • Implement and maintain a Data Risk Management risk data foundation following sound data management principles
  • Manage and oversee data risk architecture and day-to-day data risk requests
  • Support and advise other business units and risk functions on controls, risk, and governance practices concerning data management, including participation in relevant programs, risk councils, and committees
  • Review the design, implementation, and operational effectiveness of key data management controls
  • Evaluate the data quality in usage and the ability to use data to tell comprehensive data stories
  • Maintain a proactive way of working with good project management and team spirit
  • Perform Data Risk oversight, monitoring, and reporting, including forming risk opinions related to the Group's current data risk picture
  • Review and challenge Risk & Control Self-Assessments (RCSA) and New & Amended Product Approvals (NAPA) for Data risks