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The Data Governance Foundation Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking.
Job Responsibility:
Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framewors
design, implement, and monitor Data Quality scorecards to ensure completeness, accuracy and timeliness for Wholesale Credit Risk data
identify and thoroughly investigate recurring data concerns, including potential false positives, collaborating with Technology and other key stakeholders to address them effectively
collaborates closely with internal and external business partners to build, implement, track, and improve Data Quality control processes
leverages Machine Learning and other advanced analytical methods to identify complex data patterns and trends, providing actionable insights to enhance the quality of data supporting Credit Risk reporting
Requirements:
10+ years relevant experience in a SQL/Python/Tableau
familiar with Wholesale Credit Risk and financial markets’ instruments
data tracing, data mining, visualization, analysis – identifying patterns/trends, exploratory data analysis, root cause analysis
ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences
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