Senior Data Governance Analyst - Credit Risk

Randstad Digital is recruiting five Senior Data Governance Analysts to support a large financial institution’s US Credit Risk organization. The role strengthens data governance, data quality, and data lineage for credit risk data used in regulatory reporting, risk models, and business decisions.

Responsibilities:

• Identify, document, and maintain critical data elements (CDEs) supporting credit risk reporting and models
• Perform data lineage analysis to trace data from source systems through transformations to downstream reports and models
• Gather and document business, functional, and data requirements from Credit Risk, Technology, and other stakeholders
• Assess data quality controls, identify gaps and inconsistencies, and support remediation activities
• Partner with data owners, stewards, analysts, and technology teams to improve data accuracy, consistency, and governance
• Support the development and maintenance of data quality measures, processes, and documentation
• Track project activities, deliverables, dependencies, and remediation progress
• Contribute to data governance initiatives within a regulated banking environment

Requirements:

• 8+ years of experience in data governance, data management, data quality, or related banking data initiatives
• Strong experience working within banking or financial services
• 8+ years of relevant experience with data lineage, requirements gathering, and data quality measures or processes
• Experience supporting data-related projects, including project coordination or project management
• Understanding of credit risk data, reporting, or risk management processes
• Ability to work independently and collaborate with business and technology stakeholders
• Strong analytical, documentation, communication, and problem-solving skills
• Bachelors
• Experience with SQL for data analysis, validation, or investigation
• Experience using Power BI or Alteryx
• Background supporting commercial lending, wholesale credit risk, or loss mitigation
• Familiarity with regulatory reporting, credit risk models, and enterprise data governance frameworks