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

Candidate profile

Required experience

• Significant experience in Global Markets, Investment Banking, Capital Markets, Technology, Data, Digital Transformation, AI Product Management or Consulting

• Strong understanding of financial markets activities, ideally including Sales, Trading, Structuring, Research, Operations and Risk

• Proven track record in driving transformation initiatives in a complex, global and regulated environment

• Experience working with AI, GenAI, machine learning, analytics, automation or digital product delivery

• Ability to interact with senior stakeholders and influence without direct authority

• Strong product mindset: ability to move from business problem to roadmap, prototype, delivery and adoption

Technical understanding

The candidate does not need to be a pure AI engineer but should have a strong practical understanding of:

• Generative AI and Large Language Models

• Retrieval-Augmented Generation

• AI agents and workflow automation

• Prompt engineering and AI assistant design

• Data platforms, APIs and analytics workflows

• AI governance, model risk and responsible AI principles

• Cloud and enterprise technology constraints in banking

         Soft skills

• Excellent communication and storytelling skills

• Strong ability to simplify complex AI concepts for non-technical audiences

• Business-oriented mindset with strong focus on measurable value

• Ability to federate communities and drive cultural change

• High level of autonomy, curiosity and execution discipline

• Strong risk awareness and ethical judgment

• Ability to operate globally across regions, functions and seniority levels

As soon as you arrive, you will be integrated into our teams and will learn every day alongside our experts, who will support you in your tasks. Gradually, you will become more independent in your projects, making this experience a real career accelerator. You will also discover all the diversity of our businesses, in a sector that is constantly evolving and innovating.

At the end of your studies, various opportunities could be offered to you, in France and abroad.

At Societe Generale, we are convinced that you are driver of change, and that the world of tomorrow will be shaped by all your initiatives, from the smallest to the most ambitious.

All over the world, whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.

If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.