Risk Data Quality Analytics Lead – Python – Sql

Risk Data Quality Analytics Lead – Python – Sql

Requirements

• 6-10 years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area
• Financial engineering background required
• Experience with Python and SQL required
• Advanced understanding of Project Management methodologies and tools
• 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

Responsibilities

• Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework
• Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
• Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
• Support and coordinate with business lines and global functions on enterprise Data Governance strategy roll out, including new Data risk taxonomy and associated changes to key risk indicators and control framework
• Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices and standards, e.g., understanding industry best practices
• Produce recommendations for enterprise-wide guiding principles, policies, processes and practices
• Determine requirements for and prioritize development of new enterprise-wide principles, policies, processes and practices as needed
• Develop and manage approach for measuring adoption of principles, policies, processes and practices

Preferred Qualifications

• Experience working with AI platforms preferred
• Master’s degree preferred