Citi · 1 day ago
Regulatory and Analytics Data Quality Analyst
Getzville, NY
Full-time
Onsite
Mid, Senior Level
$77K/yr - $116K/yr
5+ years expCiti is a leading financial institution committed to innovation, regulatory compliance, and data excellence. The Regulatory and Analytics team is seeking a highly motivated candidate to support the development and deployment of AI use cases in wholesale lending and to assist in implementing data quality management policies and procedures.
BankingFinanceFinancial Services
Responsibilities
Gathers operational data from various cross functional stakeholders to examine past business performance
Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc
Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
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
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
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 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
Qualification
Required
5-8 years of experience
This position requires excellent analytical and business strategy skills
Effective communication skills
Ability to present to business partners and/or leaders to gain approvals
Project and process management skills
Excellent written and verbal communications skills
Experience with a prior focus in financial services analytics
Solid organizational skills and ability to manage multiple projects at one time
Self-starter who also has a demonstrated ability to work successfully in team environment and drive
Financial Services Domain Expertise (Wholesale Lending): Strong knowledge of wholesale lending products, loan origination processes, credit analysis, loan documentation, regulatory requirements, and banking operations. This ensures AI solutions are contextually appropriate and compliant with industry standards and regulations
AI/ML Engineering & Prompt Engineering: Deep understanding of large language models, prompt design patterns, AI orchestration frameworks, and the ability to develop, test, and deploy AI features in production environments. Experience with RAG (Retrieval-Augmented Generation) architectures and model evaluation would be particularly valuable for loan-related AI applications
Data Architecture & Modeling: Expertise in designing enterprise data models, data taxonomy development, data governance, and understanding of both relational and modern data architectures. Experience with financial data standards and the ability to translate business requirements into scalable data structures is critical for the data model redesign work
Business Analysis & Stakeholder Management: Strong ability to translate technical concepts for non-technical audiences, create compelling presentations and documentation, conduct use case analysis, gather requirements, and manage stakeholder expectations. Given the 'hot topic' nature of AI, the ability to communicate progress, manage expectations, and demonstrate value is essential for organizational buy-in and continued support
Bachelors/University degree or equivalent experience
Preferred
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
Good analytical, problem-solving, and communication skills
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
Certifications in data management or related fields
Benefits
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Company
Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
10001+ employees
H1B Sponsorship
Citi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1386)
2024 (849)
2023 (1375)
2022 (1117)
2021 (876)
2020 (901)
Funding
Current Stage
Late StageLeadership Team
James Monahan
Managing Director / Global Head of Asset Servicing
Naveed Sultan
Managing Director, Chairman, Institutional Clients Group
Recent News
2026-01-20
2026-01-15
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