This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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. 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.
Job Responsibility
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
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
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
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
Requirements
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
Intermediate to advanced skills with business intelligence and data visualization software: Microsoft Excel, Microsoft PowerPoint, Tableau
Certifications in data management or related fields
Nice to have
Intermediate to advanced skills with business intelligence and data visualization software: Microsoft Excel, Microsoft PowerPoint, Tableau
Certifications in data management or related fields