About Citibank N.A.

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.

Key Responsibilities: Regulatory Data Quality Stewardship: Defendable and Supported Analysis

• Become domain expert in wholesale credit product, business and risk management
• Accountable for DQ review in compliance with Wholesale Credit, EDO and regulatory guidance. Be comprehensive, concise, conclusive and consistent with strong support
• Responsible for detecting, assessing, measuring, reporting of data anomalies
• Apply new technology and data analytics tools to improve the review efficiency
• Contribute to development and sustainability of R&A Target Operating Model.

Data Analytics Tooling, Automation and AI Development for Wholesale Credit:

• Design and implement analytics for reporting, DQ detection and adjustments, trend analysis and anomaly monitoring using tools like Python, VBA, query, Excel
• Define use cases, collaborate with business, Risk, data modeling, Technology on AI data model training, lead contextualization wholesale credit concepts for AI training
• Drive the resolution of data-related issues to ensure accurate and timely regulatory filing and enhanced internal risk management
• Scope and define business requirements for DQ remediation, data-drive decision intelligence, ollaborate with Product Development on implementation and deployment

Control Development and Issue Management:

• Define logic rules and assign appropriate severity level, project manage to ensure quick time-to-market and improve end-to-end data integrity
• Review and enhance regulatory reporting logics to align with regulatory guidance
• Design appropriate testing plan to minimize impact of false positive or false negatives
• Maintain issue log, review and prioritize strategic remediation based on issue scorecard
• Implement and document compensating controls for regulatory reporting

Internal and Regulatory Exam, Change Management:

• Manage internal and regulatory inquiries, Internal Audit and regulatory exam as the primary for coverage portfolios, back up teammates on others
• Collaborate in regulatory change management with RRIO, Risk, Finance from interpretation to implementation
• Effectively communicate and coordinate implementation, act as R&A SME to support business, Risk and Finance
• Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities.

Qualifications:

• Result-oriented, self-motivated for high quality execution with good time management
• Working experience with data analytics tools (Excel, Python, SQL, Power BI / Tableau), hands-on with artificial intelligence technique
• Commitment and aptitude to quickly learn wholesale loan legal agreement and Risk document review. Self-learner mindset who thrives with extensive on-the-job training.
• Critical thinking, analytical and problem-solving skills to drive resolution of complex problems, ability to communicate effectively, succinctly and clearly
• A team player who will collaborate and challenge peers as well as counterparts in front office, Risk and reporting
• Ability to help define and support technology development
• Bachelor's degree in Data Science, Computer Science, Finance, or other data

Preferred Qualifications:

• Experience with AI technique, Python, data mining and analytics tools
• Prior working knowledge of wholesale lending document and US regulatory reporting (e.g. FR-Y14Q, Y-9C and 2052a) is nice to have, but not a must
• 7+ years of experience in the financial services, legal or other regulated industry, with preference of previous wholesale credit and regulatory reporting.
• Business proficiency in Spanish, Portuguese, other languages

Skills:

• Technical: Data Quality, Python, AI Use Case Development, Regulatory Reporting
• Soft:

Communication, Stakeholder Management, Problem Solving

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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