Job Description:
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Citi Services is a core business unit within Citigroup that provides global treasury, trade, and securities services to roughly 19,000 corporate and financial institution clients. Described as a 'crown jewel' by management, it focuses on cash management, cross-border payments, working capital solutions, and asset servicing across roughly 190 countries. Core Components of Citi Services: Treasury and Trade Solutions (TTS): Helps companies move, manage, and invest money, including liquidity management, payments/receivables, and trade financing. Securities Services: Provides custodial services to investment managers, tracking the value of holdings and facilitating the issuance of debt and equity securities. Digital Innovation: Utilizes proprietary networks for instant payments and blockchain-based tools (Citi Token Services) for 24/7 liquidity management. The AI Development Lead for Services Technology oversees the entire lifecycle of AI and machine learning initiatives, bridging technical teams (data scientists/engineers) with business strategy. You are responsible for setting project roadmaps, ensuring technical feasibility, deploying AI models, and ensuring ethical AI deployment to deliver business value. Key duties include team leadership, resource management, and setting strategic direction.