Graduate Program - Business Analyst - AI Office - Global Markets

About the role We are looking for a Business Manager within Data/AI Office for Global Markets to accelerate the adoption of Artificial Intelligence across Sales, Trading, Structuring, Research, COO Functions. The role will be responsible for driving a full AI transformation agenda across Global Markets, covering: AI for efficiency: productivity, automation, workflow simplification and operational excellence AI for NBI: revenue generation, client intelligence, sales enablement and new AI-powered commercial opportunities AI for all: democratization of AI tools, upskilling, awareness and responsible usage across the organization AI governance: safe, compliant and controlled adoption of AI in a regulated banking environment This is a business transformation role, not only a technical role. The successful candidate will act as a bridge between business teams, technology, data, risk, compliance, legal and senior management to identify, prioritize and scale AI use cases with tangible business impact. Key responsibilities 1. Define and drive the Global Markets AI strategy Define the AI roadmap for Global Markets in alignment with business priorities, technology strategy, data strategy and regulatory expectations Identify and prioritize high-value AI opportunities across Sales, Trading, Structuring, Research, Operations and COO functions Build a portfolio of AI initiatives covering productivity gains, NBI generation, risk reduction, automation and client service enhancement Translate business pain points into AI opportunities and ensure clear value cases, expected benefits and delivery plans Maintain a clear AI use case pipeline from ideation to experimentation, industrialization and adoption 2. Accelerate AI for efficiency Drive the deployment and adoption of AI assistants, copilots, knowledge search, document automation, workflow automation and intelligent agents Identify repetitive, manual or low-value-added activities that can be automated or augmented through AI Partner with Operations, COO, Technology and Business Management teams to streamline processes and reduce operational friction Measure productivity gains and adoption levels through concrete KPIs Promote reusable solutions and avoid fragmentation of local AI initiatives 3. Develop AI for NBI and business growth Partner with Sales, Trading, Structuring and Research teams to identify AI use cases that can enhance client coverage, idea generation, market intelligence and commercial effectiveness Support the creation of AI-powered tools for client insights, sales recommendations, product intelligence, pricing support, research summarization and opportunity detection Help business teams transform AI ideas into prototypes, minimum viable products and scalable solutions Ensure that AI initiatives are linked to measurable commercial outcomes, including client engagement, monetization opportunities and revenue contribution Work closely with quants, strategists, data scientists and product owners to embed AI in front-office workflows 4. Lead AI awareness, adoption and “AI for all” Build and animate an AI community across Global Markets, including AI champions, power users and business sponsors Design awareness campaigns, training sessions, demos, AI days, hackathons and internal communication plans Promote responsible and practical usage of AI tools by all employees, regardless of technical background Help teams understand what AI can and cannot do, with a focus on concrete banking use cases Create playbooks, guidelines and best practices to accelerate safe adoption 5. Ensure responsible AI governance Work with Risk, Compliance, Legal, Data Protection, Model Risk Management, Technology Risk and Cybersecurity teams to ensure AI use cases comply with internal policies and external regulation Ensure AI solutions are properly assessed for data confidentiality, explainability, model risk, conduct risk, operational risk and regulatory impact Promote appropriate controls, validation, monitoring, human oversight and auditability for AI solutions Support documentation of AI use cases, including business rationale, data usage, controls, limitations and ownership Contribute to the definition and implementation of responsible AI standards for Global Markets 6. Manage delivery and stakeholder alignment Act as the central coordination point for AI initiatives across Global Markets Engage senior stakeholders to secure sponsorship, funding, prioritization and adoption Partner with Technology, Data, Digital, Innovation and AI Lab teams to deliver AI capabilities at scale Track progress, risks, dependencies, benefits and adoption metrics for the AI portfolio Prepare executive updates, steering committee materials and AI transformation dashboards