AI for Finance : How to leverage AI in the Financial Industry

• Financial professionals without a technical background, aiming to understand AI from a strategic perspective and learn how to integrate it effectively within their organizations.
• IT specialists in financial institutions seeking a strategic understanding of AI.
• Finance managers, investment analysts, risk officers, compliance officers, innovation managers, and data or IT project leads within banks, asset management firms, insurance companies, or fintechs.

House of Training, in partnership with ESSEC Business School and co-developped by ABBL, offers an intensive program designed specifically for financial professionals in Luxembourg who want to harness the power of artificial intelligence in the finance sector.
With this unique collaboration, the course offers a conceptual and strategic perspective, aiming to provide participants with a solid understanding of AI and practical insights for its effective integration within their organizations. The course will require no coding background and will focus on pragmatic understanding, rather than on technical skills.
Participants will leverage the expertise of ESSEC’s Finance Department, home to one of the world’s top-ranked Master in Finance programs, and the ESSEC Metalab for AI, Data & Society, which is dedicated to responsible AI adoption. Sessions will be delivered by ESSEC faculty members involved in cutting-edge AI research, complemented by guest speakers currently implementing AI solutions in leading financial institutions.

At the end of the training, participants will be able to leverage AI in the Financial Industry by being able to:

• Understand the core principles of artificial intelligence and machine learning and how they apply to financial activities.
• Identify concrete opportunities and risks of AI for financial institutions, including regulatory and operational implications.
• Apply practical AI-driven solutions to support strategic and data-informed decision-making.
• Develop a pragmatic, non-technical understanding of AI, enabling them to evaluate and integrate AI initiatives without any coding background.
• Connect with a network of experts and practitioners involved in AI and financial innovation

Module 1 — AI Foundations and Conditional Probabilities
Introduction to machine learning and deep learning concepts, with intuitive explanations of conditional probabilities and language model representations.
Module 2 — Understanding LLMs’ Performance
Overview of text analysis in finance, evaluation of model performance, and practical techniques such as prompt engineering, Chain-of-Thought, and long reasoning.
Module 3 — AI for Investment Managers
Analysis of AI applications in investment decision-making, including insights from recent academic research and the role of AI in portfolio allocation.
Module 4 — AI in Commercial Banking
Applications of AI in risk mitigation, AML processes, customer service optimization, and robo-advisory systems.
Module 5 — The EU AI Act
Concrete implications of the EU AI Act for financial institutions, with a focus on compliance requirements and associated challenges.
Module 6 — AI Implementation
How to design a realistic AI implementation plan, identifying potential obstacles and key success factors.
Module 7 — Main Commercial AI Systems and Tools
Overview of leading AI platforms, including their costs, fine-tuning capabilities, and business models.
Module 8 — Future Directions and Capstone Projects
Exploration of emerging AI trends and completion of a capstone project to apply and consolidate learning in a real-world scenario.

Ongoing assessments during the course, plus a final test.

Upon completion of the programme, participants will receive a certificate jointly issued by ESSEC Business School, ABBL and House of Training.

Autres informations:

This education programme is directed by Luciano Somoza, Assistant Professor of Finance at ESSEC. He holds a PhD from the Swiss Finance Institute with visiting periods at LSE and NYU. Luciano’s research focuses on digital money and AI in finance, and he frequently contributes to the public debate in outlets such as Financial Times, Le Monde, and Il Sole 24 Ore.
The programme also gathers leading academics and seasoned industry experts, offering participants practical insights into AI applications in finance. For professionals and companies, this translates into actionable knowledge on AI-driven strategies, regulatory and compliance considerations, and real-world implementation challenges, providing a clear competitive edge and immediate applicability to business decision-making and innovation.