Citi-posted 7 days ago
Full-time • Mid Level
Tampa, FL
5,001-10,000 employees

1. AI Use Case Development in Wholesale Lending: Assist 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. Contribute business insights and guidance in the creation, testing, and integration of AI models and solutions. Support the evaluation of the impact of AI implementations on lending processes and outcomes. 2. Data Quality Management: Contribute to 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. Provide support and subject matter expertise to address issues encountered during the production cycle of regulatory reports. Offer support in tactical solution designs and guidance on interpretive issues relating to reporting instructions and their implementation. Assist in the resolution of data-related issues to ensure accurate and timely regulatory filings.

  • Assist as a business subject matter expert (SME) in the development and integration of AI use cases for wholesale lending products.
  • Contribute business insights and guidance in the creation, testing, and integration of AI models and solutions.
  • Support the evaluation of the impact of AI implementations on lending processes and outcomes.
  • Contribute to the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities.
  • 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.
  • Provide support and subject matter expertise to address issues encountered during the production cycle of regulatory reports.
  • Offer support in tactical solution designs and guidance on interpretive issues relating to reporting instructions and their implementation.
  • Assist in the resolution of data-related issues to ensure accurate and timely regulatory filings.
  • Bachelor's degree in Finance, Business Administration, Data Science, or a related field or equivalent work experience
  • Minimum of 5 years of experience in the financial services industry, with exposure to wholesale lending and regulatory reporting.
  • Understanding of wholesale lending products and processes.
  • Familiarity with current AI technologies and their applications in the financial industry.
  • Knowledge of regulatory frameworks such as FR-Y14, Shared National Credit, and 2052a and their reporting requirements within a large banking institution.
  • Experience in contributing to the development and implementation of data quality management policies and procedures.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.
  • Demonstrated ability to contribute subject matter expertise and assist in resolving issues.
  • Intermediate skills with business intelligence and data visualization software: Microsoft Excel, Microsoft PowerPoint, Tableau.
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