Wholesale Lending Reporting Analytics Analysis - Assistant Vice President

Wholesale Lending Reporting Analytics Analysis - Assistant Vice President

Team Overview:
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.

• 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 backing teammates on other portfolios.
• Responsible for detecting, assessing, measuring, and reporting data anomalies.
• Apply new technology and data analytics tools to improve review efficiency.
• Contribute to development and sustainability of R&A Target Operating Model.

• Define and refine logic rules and assign appropriate severity level to help develop control checks for end‑to‑end data integrity.
• Review and enhance regulatory reporting system logics to align with regulatory guidance.
• Project‑manage logic rule and reporting rule development to ensure quick time‑to‑market.
• Design appropriate testing plan to minimize impact of false positives or false negatives.
• Maintain issue log, review and prioritize strategic remediation based on issue scorecard.
• Propose, implement and document compensating controls for regulatory reporting.
• 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, backing teammates on others.
• Collaborate in regulatory change management with RRIO, Risk, Finance from interpretation to implementation.
• Effectively communicate and coordinate implementation, acting 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.

• Scope and provide business requirements to technology for DQ remediation from SOR to reporting based on root cause analysis.
• Draft business requirements for development of analytical capabilities and R&A adjustment workflow.
• Collaborate with Product Development on implementation and deployment.

• Define use cases for AI adoption, collaborate with Technology, TM and business.
• Help train and refine AI application through testing and feedback.
• 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.

• 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 techniques.
• 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)…