Commercial & Investment Bank - Global Regulatory & Policy Management (GRPM)

We are seeking a Vice President to join Global Regulatory & Policy Management (GRPM) within the Reporting, Quality & Insights (RQ&I) team. RQ&I delivers centralized reporting, LLM, quality control, regulatory insights, and continuous process improvement across the Commercial & Investment Bank (CIB) for GRPM. As a Vice President within Global Regulatory & Policy Management (GRPM), you will support the deployment of Data Management capabilities, AI-enabled use cases, and centralized QA/Reporting process to improve consistency, efficiency, and transparency across GRPM.

Job Responsibilities

Build and maintain CIB Regulatory Policy Management reporting and management information (MI), including dashboards and metrics. Design and implement automated data-processing solutions with minimal manual intervention. Deep dive into firmwide LLM tools to design and deliver GRPM use cases; iteratively refine prompts and knowledge bases (and model configurations, where applicable) and test outputs to meet requirements across the regulatory review lifecycle.

Help build and enhance quality assurance (QA) processes for Regulatory Policy Management reporting, including validation steps, approvals, controls, and audit trails. Coordinate delivery across data owners, Risk/Compliance partners, and regional teams across time zones. Support the automated generation of newsletters and policy communications using repeatable, data-driven methods (e.

g., templates, scheduling, and distribution lists). Identify and execute opportunities to reduce manual effort in BAU reporting and communications through standardization and automation. Required qualifications, capabilities and skills Bachelor's in Computer Engineering, Computer Science, Data Science, Data analytics or equivalent degree 8+ years of experience in data science, finance, or banking, with an understanding of CIB products.

5+ years of experience in data, controls, governance, regulatory operations, compliance, risk management, business management, project management, or a related financial services discipline. 5+ years of experience building AI/ML processes or applications end-to-end (from problem definition through deployment, testing, and ongoing improvement).

Strong proficiency in at least one programming language used for ML/automation (e.g., Python) and strong database scripting skills (e.g., SQL). Strong written and verbal communication skills, with the ability to translate complex topics for diverse stakeholders. Proven ability to manage multiple priorities and senior stakeholders simultaneously globally.

Strong analytical and problem-solving skills. Preferred Qualifications, Capabilities & Skills Experience with legal obligations, regulatory inventories, policy governance, and/or regulatory technology tools. Familiarity with Qlik reporting, regression data models or emerging AI-enabled capabilities. Experience supporting testing, change implementation, or process improvement initiatives.

Experience partnering with Legal, Compliance, Technology, Audit, Controls, and/or Operations functions.