We are looking for a driven Data Governance Analyst to join our clients Risk function within a dynamic and fast-paced banking environment. This role offers a unique opportunity to shape and embed a comprehensive data governance framework, ensuring consistent data management practices across the organisation.

Key Responsibilities:

• Embed the data governance framework within the Risk function to drive data management consistency.
• Identify data quality issues, collaborate cross-functionally, and support remediation efforts.
• Prepare materials for regular data governance forums, monitoring and reporting on key data quality and compliance metrics.
• Perform data lineage mapping for various business outcomes.
• Serve as a liaison between Risk, other business functions, IT, and data users to address data needs and challenges.
• Provide training and support on data governance tools and best practices within the Risk function.
• Operate in line with risk management frameworks, ensuring any concerns are appropriately escalated.

Key Requirements:

• Minimum 1 year of relevant experience in data governance within financial services.
• Degree educated or equivalent, ideally in Computer Science, Information Management, or Data Science.
• Strong understanding of data governance frameworks and best practices for data management and quality.
• Excellent communication skills, able to build relationships with a variety of stakeholders.
• Proficiency in MS Excel (formulas, pivot tables).
• Basic knowledge of SAS and SQL is desirable, but not essential.
• Proactive, organised, and familiar with regulatory requirements.

InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.