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The Market Risk Reporting Data Lead will be responsible for driving data governance initiatives within the Market Risk function. This includes partnering with stakeholders to define and implement data quality standards, manage data lineage, address data concerns, and ensure compliance with BCBS 239. The successful candidate will have a deep understanding of market risk fundamentals, regulatory requirements, and data governance best practices. Excellent communication and leadership skills are essential for collaborating with senior management, various teams, and regulatory bodies.
Job Responsibility:
Lead the Market Risk Data Domain Governance for critical data elements, including data lineage and data concerns
Drive improvements in the Market Risk data program to ensure compliance with BCBS 239 requirements for key risk reports
Participate in and support data governance, data services, and data quality initiatives, including the development and execution of data use cases to enhance market risk analysis
Build and maintain strong relationships with key internal and external stakeholders, including senior management and regulatory bodies
Implement and enhance key controls related to market risk data and maintain comprehensive process documentation
Provide ad-hoc support and analysis as needed.
Requirements:
Bachelor's or Master's degree in Finance, Economics, Data Science, or a related analytical field
12+ years of relevant experience in Market Risk Reporting, Data Analytics, Finance, or Data Science, with a strong emphasis on data governance and regulatory compliance
Proven leadership skills with a demonstrated ability to influence, negotiate, and integrate processes across teams
Substantial experience in the financial services industry with a deep understanding of financial products, market risk across asset classes, and experience interacting with senior management
Ability to process and interpret complex data structures, providing insightful and actionable perspectives
Demonstrated problem-solving skills, attention to detail, and the ability to manage effectively against deadlines
Excellent communication, organizational, and interpersonal skills to effectively communicate, collaborate, and lead cross-functional initiatives
Advanced skills in data analysis, databases, and data quality management
Experience with Tableau, Power BI, or similar visualization tools is preferred
Proficiency in Python, R, SAS, or other statistical programming languages is highly desirable
Advanced English skills are required.
Nice to have:
Experience with Tableau, Power BI, or similar visualization tools
Proficiency in Python, R, SAS, or other statistical programming languages.
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