AI & Machine Learning in Financial Services

AI and Machine Learning for Financial Services is a three-day programme that explores the role of emerging algorithmic techniques on financial decisions. Drawing on knowledge from Imperial College Business School faculty, industry experts, case studies and your peers, you will apply key elements of artificial intelligence (AI) and machine learning to your organisation, increasing the efficiency and accuracy of decision making.

Through this immersive, hands-on programme you will gain an understanding of the fundamentals of AI and machine learning and how they apply to financial functions such as fraud detection, lending processes, asset management, risk assessment, regulatory compliance and beyond.

You will walk away prepared to implement what you’ve learnt, ensuring your organisation is maximising the value of its live and historic data.

Learning outcomes

Gain a good understanding of the main concepts of AI and machine learning

Understand how to operationalise AI and machine learning

Be able to identify key areas to apply AI and machine learning techniques within your teams and workplace

Be able to appreciate the advantages that AI and machine learning techniques can add to various portfolio and risk management strategies

Programme content

Before you arrive

Upon registration, you will be able to access our online hub. Here you will find a range of reading and activities to prepare you before you arrive with us on campus. The Hub will also provide you with the opportunity to meet fellow participants virtually, kickstarting your networking.

Day 1

Overview, Expectations & Introductions

Russell Miller, Director of Learning Solutions & Innovations at Imperial College Business School

Machine Learning Fundamentals

Marcin Kacperczyk, Professor of Finance at Imperial College Business School

Marcin will introduce some fundamental concepts and methodologies of machine learning. We start with the big picture before exploring in more depth some of the key concepts that will support your learning on Day 2.

Machine Learning Fundamentals

Marcin Kacperczyk, Professor of Finance at Imperial College Business School

Continuation of the morning session

The IT Organisation: Operationalising AI & ML

Deeph Chana, Professor of Practice at Imperial College Business School

The barriers to entry are much lower than assumed (and getting lower). What are the main requirements your technology and IT teams need to consider?

Network Drinks

Join your colleagues at the end of day 1 for a chat over drinks and canapés

Day 2

Machine Learning for Portfolio Management

Paolo Zaffaroni, Professor in Financial Econometrics at Imperial College Business School

Understand how AI and Machine Learning solutions are improving investment decisions, allowing organisations to manage their financial assets, reducing costs and ultimately increasing revenues.

Machine Learning for Risk Management

Enrico Biffis, Associate Professor of Actuarial Finance at Imperial College Business School

Risk management is a complex system. We will be looking at dependency patterns and the importance of capturing their sequential evolution.

Machine Learning for Systematic Strategies

Andrea Buraschi, Professor of Finance at Imperial College Business School

We answer the question of how Big Data and Commodity Trading Advisor (CTA) are shaping the investment landscape.

Day 3

Deep Learning Algorithms

Pierre Dangauthier, Head of Quantitative Analytics at Smarkets

We explore the importance of using available data in Machine Learning and make the case for the role of human guidance and intuition in its application.

Regulatory Risks of AI Products: A pensions example

David Miles, Professor of Financial Economics at Imperial College Business School As the European Commission pledges to attempt to regulate AI, experts are sceptical about how to frame the AI legal framework. In this session, David will explain the impact of AI regulation for financial service firms using a pensions example.

Investing in AI – The next big thing?

London is one of the global hot spots for FinTech and tech funding. The adoption of disruptive and innovative technologies such as the application of AI/ML has attracted the top tier investors and FinTech founders. Discover where the smart money is going and meet active investors in this space.

Reflection & Consolidation & Certificates

Russell Miller, Director of Learning Solutions & Innovations at Imperial College Business School