AI Risk & Governance, Trade Finance - Senior Vice President

Services provides global solutions that help corporations, financial institutions, public sector and commercial clients optimize operations and drive their business forward. Through our five business lines – Liquidity Management Services, Payments, Trade & Working Capital Solutions, Investor Services and Issuer Services - we provide cash management, payments/receivables solutions, working capital solutions, post-trade securities services and issuer services across Citi’s global network. Citi is seeking a AI Risk & Governance - SVP to lead the responsible AI agenda for Trade & Working Capital Solutions (TWCS) — one of the most strategically significant and globally scaled franchises within Citi's Institutional Clients Group, operating across 160+ countries. In this role, you will establish the control frameworks, testing strategies, and explainability standards that govern Citi's AI deployment in trade finance, ensuring every AI capability is built responsibly, governed transparently, and maintained to the highest standards of regulatory readiness. This is a critical senior leadership position at the intersection of AI innovation and risk control — with direct influence on how AI shapes the future of global trade finance at institutional scale.

Lead end-to-end AI risk identification, assessment, and management across all TWCS AI solutions, establishing and maintaining a consolidated AI risk register in coordination with Model Risk Management, Operational Risk, and Technology stakeholders. Define AI-specific risk appetite thresholds, escalation protocols, and material risk reporting frameworks aligned to enterprise risk management standards, ensuring AI risk posture is continuously monitored and remediated within approved tolerance. Architect and own the comprehensive AI testing strategy for all TWCS machine learning solutions — spanning pre-production validation through post-deployment monitoring — with performance benchmarks, fairness metrics, and robustness protocols calibrated to trade finance use cases including document digitization, fraud detection, and counterparty risk scoring. Design, implement, and operationalize a fit-for-purpose AI Governance framework for the Trade & Working Capital portfolio, covering model lifecycle policies, AI inventory management, and governance committee structures aligned to the EU AI Act, SR 11-7, and OCC Model Risk guidance. Lead the design and integration of Explainable AI (XAI) capabilities — including SHAP, LIME, and counterfactual reasoning — ensuring model decisions are interpretable and defensible for technical, executive, client, and regulatory audiences alike. Ensure all TWCS AI solutions maintain perpetual audit readiness, building and maintaining comprehensive model documentation artefacts including Model Risk Cards, bias assessments, data lineage maps, and control attestations across Internal Audit, regulatory examination, and external review cycles. Manage the geographic expansion of AI governance controls across 30+ markets, adapting frameworks to local regulatory requirements while maintaining global design consistency and control reusability across the TWCS AI estate. Required qualifications & skills 12+ experience in financial services risk, technology, or AI/ML governance — including direct ownership of enterprise-level risk or governance programmes. Demonstrated experience building, launching, or governing AI/ML solutions within regulated financial services environments, with direct accountability for model risk management or AI governance frameworks. Deep knowledge of AI and ML concepts, responsible AI frameworks, model risk management, and explainability techniques including SHAP and LIME, combined with fluency in enterprise governance requirements such as SR 11-7, the EU AI Act, and OCC Model Risk guidance. Demonstrated experience leading Internal Audit reviews and regulatory examinations with bodies including the FRB,