Data Governance analyst (Financial crime – AML/CTF)

Data Governance analyst (Financial crime – AML/CTF) Contract (until 31/03/2025) likely to be reviewed and extended Hybrid (2/3 days per week in office) Up to £500pd through umbrella company cer Financial are working alongside an International Bank who are based in the City of London. They are seeking a Data Governance analyst to work with them on a contract. The responsibilities of a Data Governance analyst will include: Solid knowledge and expertise in the use of data governance, data quality, metadata, profiling, analysis, and data management tools. Support the implementation of the data governance strategy and policy Drives the data definition, governance and lineage aspects 'end to end' for each Use Case assigned Responsible for monitoring changes to business data requirements and ensuring that change and release management activities are executed for the data domains Contributes to the firm's objective of meeting industry regulatory expectations with respect to the data governance program as well as establishing processes that generate accurate, complete, timely and reliable data Work with Local Data Officers and teams across the Division on the development and implementation of data standards and adoption requirements for EMEA Data Collaborates with business, compliance, technology, and other groups to ensure that data related business requirements are clearly defined and communicated as part of initiative prioritisation and planning Support the investigation of Data Quality Issues, development of remediation plans and recommendations to fix at source Ability to establish consistent contact with all teams to provide updates, stay on track and report risks and issues timely with proven ability to quickly earn the trust of sponsors and key stakeholders The successful Data Governance analyst will have: Working knowledge and understanding of data governance, data quality, metadata, profiling, analysis, and data management tools. Analytically minded with experience in problem solving and being able to communicate workable solutions An understanding of Physical, Logical, and Business data Models Proficient in Microsoft Word, Excel, Visio, PowerPoint and MS Project. Relevant industry experience, preferably in a quantitative discipline Exposure to Collibra and other data governance tools Solid knowledge and expertise in Financial Crime - Anti Money Laundering / Combating the Financing of Terrorism (AML/CFT) space. Knowledge of the Sanctions framework, requirements and processes. Knowledge of Data Quality practices and Controls implementation Knowledge of data related regulatory requirements Experience working in regulated frameworks, ideally financial services