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2 Growth Operations Manager jobs in Copenhagen

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Data Science Copenhagen Growth Operations Manager
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Saxo Bank
08/08/2026
Full time
Business Risk Manager
Saxo Bank Copenhagen, Denmark
The Business Risk Manager plays an important role and is responsible, together with the other senior stakeholders, for identifying, assessing, and appropriately managing non-financial risks along with compliance and audit recommendations within the Inspiration & Education Client Journey. This role is part of the Journey Leadership Team.   Responsibilities Ensure effective risk management and support with balancing risk-taking with the Group’s risk appetite. Support the Global Journey Owner in understanding the overall risk picture and foster a sound risk and compliance culture. Secure an overview of policies, procedures, processes, capabilities, and associated risks. Ensure the existence and maintenance of business procedures, work instructions and process frameworks, and keep them up to date. Collaborate with stakeholders to integrate risk insights into decision-making processes and strategic planning. Secure a broader take on control...
Saxo Bank
25/09/2026
Full time
Senior Software/Data Engineer
Saxo Bank Copenhagen, Denmark
Copenhagen, Denmark About The Job Do you want to work with data engineering, platform development, and data-based automated processes within Saxo's Financial Crime Prevention (FCP)? Saxo is an investment bank with high speed, global colleagues, and a strong focus on using technology and data to prevent financial crime. We are looking for a Senior Software/Data Engineer to join the FCP Modelling & Development team. FCP Modelling & Development is part of the 1st Line of Defence in Group Operations and is located in Saxo's headquarters in Hellerup. The team works with models and data-based automated processes used across FCP. The goal is to ensure that these data assets and processes are sound, fit for purpose, adequately documented, secure, and regularly reviewed. Responsibilities Build, operate, and continuously improve reusable AML data products, data-modelling components, and user-facing interfaces, with clear ownership, lineage, documentation, quality...
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