Wholesale Lending Reporting Analytics Analysis - Assistant Vice President

Citi•Getzville, NY

17d

About The Position

Regulatory Data Quality Stewardship: Defendable and Supported Analysis Become business domain expert in wholesale credit product, portfolio and risk management Accountable for DQ review in compliance with WCR, EDO, industry and regulatory guidance with 95% accuracy rate. Review should be comprehensive, concise, conclusive and consistent with clear support document reference. Specialize in assigned portfolio, liaise with business, TM and UW, ensure data integrity, represent R&A in issue remediation, while backup teammates on other portfolios 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. Design appropriate testing plan to minimize impact of false positive or false negatives Develop and run reports for impact assessment and adjustments 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 Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities. Collaborate with Product Development on implementation and deployment Support the resolution of data-related issues to ensure accurate and timely regulatory filings. 5+ years of experience 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 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 Minimum of 0-5 years of experience in the financial services, legal or other regulated industry, with preference of previous wholesale credit and regulatory reporting. Technical: Data Quality, Python, AI Use Case Development, Regulatory Reporting Soft: Communication, Stakeholder Management, Problem Solving Bachelor's/University degree or equivalent experience Data Science, Computer Science, Finance, or other data (preferred) ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 12, 2026 ------------------------------------------------------

Requirements

5+ years of experience
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
Experience with AI technique, Python, data mining and analytics tools
Minimum of 0-5 years of experience in the financial services, legal or other regulated industry, with preference of previous wholesale credit and regulatory reporting.
Technical: Data Quality, Python, AI Use Case Development, Regulatory Reporting
Soft: Communication, Stakeholder Management, Problem Solving
Bachelor's/University degree or equivalent experience Data Science, Computer Science, Finance, or other data (preferred)

Nice To Haves

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

Responsibilities

Become business domain expert in wholesale credit product, portfolio and risk management
Accountable for DQ review in compliance with WCR, EDO, industry and regulatory guidance with 95% accuracy rate.
Specialize in assigned portfolio, liaise with business, TM and UW, ensure data integrity, represent R&A in issue remediation, while backup teammates on other portfolios
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.
Design appropriate testing plan to minimize impact of false positive or false negatives
Develop and run reports for impact assessment and adjustments
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
Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities.
Collaborate with Product Development on implementation and deployment
Support the resolution of data-related issues to ensure accurate and timely regulatory filings.