Job
Description
As the Data Governance Foundation Lead Analyst at our company, your role is crucial in contributing to the directional strategy and assisting in the creation and modification of Enterprise Data Governance Strategy, Data Risk and Control Framework, and Data Risk Taxonomy. Your focus may include: - Partnering with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework - Designing, implementing, and monitoring Data Quality scorecards for completeness, accuracy, and timeliness for Wholesale Credit Risk data - Identifying and investigating recurring data concerns, collaborating with key stakeholders to address them effectively - Collaborating with internal and external business partners to build, implement, track, and improve Data Quality control processes - Utilizing 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 Qualifications: - 10 years of relevant experience in SQL, Python, and Tableau - Familiarity with Wholesale Credit Risk and financial markets instruments - Proficiency in data tracing, data mining, visualization, analysis, identifying patterns/trends, exploratory data analysis, and root cause analysis - Ability to manage tight deadlines, unexpected requirement changes, and balance needs of multiple stakeholders - Effective communication skills to develop and deliver clear communications tailored to different audiences Education: - Bachelor's/University degree; Master's degree preferred If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. As the Data Governance Foundation Lead Analyst at our company, your role is crucial in contributing to the directional strategy and assisting in the creation and modification of Enterprise Data Governance Strategy, Data Risk and Control Framework, and Data Risk Taxonomy. Your focus may include: - Partnering with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework - Designing, implementing, and monitoring Data Quality scorecards for completeness, accuracy, and timeliness for Wholesale Credit Risk data - Identifying and investigating recurring data concerns, collaborating with key stakeholders to address them effectively - Collaborating with internal and external business partners to build, implement, track, and improve Data Quality control processes - Utilizing 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 Qualifications: - 10 years of relevant experience in SQL, Python, and Tableau - Familiarity with Wholesale Credit Risk and financial markets instruments - Proficiency in data tracing, data mining, visualization, analysis, identifying patterns/trends, exploratory data analysis, and root cause analysis - Ability to manage tight deadlines, unexpected requirement changes, and balance needs of multiple stakeholders - Effective communication skills to develop and deliver clear communications tailored to different audiences Education: - Bachelor's/University degree; Master's degree preferred If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi.
