Citibank is a leading financial institution committed to innovation, regulatory compliance, and data excellence. Our Enterprise Data Organization (EDO) is at the forefront of driving data strategy and ensuring the highest standards of data quality and governance.
Team Overview: Regulatory and Analytics (R&A)
The Regulatory and Analytics (R&A) team within the EDO plays a critical role in ensuring the accuracy, reliability, and compliance of regulatory reports and in leveraging data analytics to drive business insights. The R&A team collaborates across various business and technology units to implement robust data quality management policies and procedures, and to provide subject matter expertise on regulatory reporting requirements.
We are seeking a highly motivated and experienced Vice President to join our Regulatory and Analytics team. This role will focus on supporting the development and deployment of AI use cases in wholesale lending, as well as ensuring the implementation of best-in-class data quality management policies and procedures.
Key Responsibilities:
1. AI Use Case Development in Wholesale Lending:
• Act as a business subject matter expert (SME) in the development and integration of AI use cases for wholesale lending products.
• Collaborate with business leaders, data scientists, and technology teams to define AI use cases, ensuring alignment with business objectives and regulatory requirements.
• Provide business insights and guidance in the creation, testing, and integration of AI models and solutions.
• Evaluate the impact of AI implementations on lending processes and outcomes.
2. Data Quality Management:
• Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities.
• Work closely with business leaders, the Data Quality organization, Data Owners, Technology Owners, and Enterprise Data Office personnel teams to ensure data quality standards are met.
• Participate in the continuous improvement, monitoring, control, and governance of Data Quality.
• Contribute to programs aimed at enhancing data quality across the organization.
3. Regulatory Reporting Operating Model:
• Assist in the implementation of a robust operating model across all regulatory reports supported by the Regulatory & Analytics team in EDO.
• Ensure the operating model supports the end-to-end filing lifecycles of regulatory reports.
• Collaborate with stakeholders to streamline processes and improve efficiency in regulatory reporting.
4. Subject Matter Expertise and Issue Resolution:
• Provide subject matter expertise to address issues encountered during the production cycle of regulatory reports.
• Offer tactical solution designs and guidance on interpretive issues relating to reporting instructions and their implementation.
• Support the resolution of data-related issues to ensure accurate and timely regulatory filings.
Qualifications:
• Bachelor's degree in Finance, Business Administration, Data Science, or a related field
• Minimum of 10 years of experience in the financial services industry, with a focus on wholesale lending and regulatory reporting.
• Strong understanding of wholesale lending products and processes.
• Familiarity with current AI technologies and their applications in the financial industry.
• Solid grasp of regulatory frameworks such as FR-Y14, Shared National Credit, and 2052a and their reporting requirements within a large banking institution.
• Experience in developing and implementing data quality management policies and procedures.
• Excellent analytical, problem-solving, and communication skills.
• Strong grasp of business intelligence and data visualization software: Excel, tableau, PowerPoint
• Ability to collaborate effectively with cross-functional teams and stakeholders.
• Proven ability to provide subject matter expertise and resolve complex issues.
Preferred Qualifications:
• Intermediate to advanced skills with business intelligence and data visualization software: Microsoft Excel, Microsoft PowerPoint, Tableau
• Certifications in data management or related fields.
Skills:
• Technical: Data Quality, AI Use case Development, Regulatory Reporting
• Soft: Communication, Stakeholder Management, Problem Solving
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Job Family Group: Data Governance------------------------------------------------------
Job Family:Data Quality & Data Quality Analytics and Reporting------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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