EXECUTIVE EDUCATION
EXECUTIVE EDUCATION
Engage with Imperial faculty live online
11 May 2021
4 weeks
5-7 hours per week
Special pricing up to 20% discount is available if you enrol with your colleagues. Please send an email to group-enrollments@emeritus.org for more information.
SOURCE: MCKINSEY GLOBAL INSTITUTE, 2019
At Imperial College London, our world-leading experts have combined scientific rigour with practical experience and the latest research to develop immersive virtual programmes – delivered in real time – in several areas of commerce, leadership and innovation so you can define the very future of business. Let us meet you where you are – and take you where you want to be.
This programme is designed for professionals working in the financial services industry, including members of the exchanges and regulatory agencies, and executives who make decisions that affect financial results. To get the most from the four-week virtual programme, you will need a good grounding in finance and statistical techniques.
This four-week virtual programme features 90-minute live faculty lectures with a Q&A at the end of each session. The sessions include engaging “try-it” and crowdsourcing features that help create an interactive, personalised and supportive learning experience.
Explore fundamental concepts and methodologies of machine learning. Get a big picture before going in more depth some of the key concepts that will support your future learning.
As the European Commission pledges to attempt to regulate AI, experts are sceptical about how to frame the AI legal framework. This session explains the impact of AI regulation for financial service firms.
This session builds on your understanding of the fundamentals and focuses on the strategic aspects of AI and ML and current applications of AI & ML in financial services. Understand the directional momentum of AI in financial services and which AI applications are currently driving the most impact. The session ends by signposting how all of this is relevant for you in your own role, right now.
In this session, you will learn how major companies and financial services organisations are operationalising AI & ML. Through case studies and peer group discussion, understand where the opportunities and challenges might lie for your organisation.
The next two sessions give you the opportunity to experience engaging an organisation in an AI & ML initiative. What works best when it comes to getting buy in? What are some of the rocks in the road you’ll need to avoid? You will be working with your peers and our panel of experts in an experiential activity that will give you the confidence to operationalise what you learn on the programme.
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? We also 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.
The adoption of disruptive and innovative technologies such as the application of AI/ML has attracted the top tier investors and FinTech founders to London. Discover where the smart money is going, and meet active investors in this space.
Explore fundamental concepts and methodologies of machine learning. Get a big picture before going in more depth some of the key concepts that will support your future learning.
The next two sessions give you the opportunity to experience engaging an organisation in an AI & ML initiative. What works best when it comes to getting buy in? What are some of the rocks in the road you’ll need to avoid? You will be working with your peers and our panel of experts in an experiential activity that will give you the confidence to operationalise what you learn on the programme.
As the European Commission pledges to attempt to regulate AI, experts are sceptical about how to frame the AI legal framework. This session explains the impact of AI regulation for financial service firms.
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? We also 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.
This session builds on your understanding of the fundamentals and focuses on the strategic aspects of AI and ML and current applications of AI & ML in financial services. Understand the directional momentum of AI in financial services and which AI applications are currently driving the most impact. The session ends by signposting how all of this is relevant for you in your own role, right now.
The adoption of disruptive and innovative technologies such as the application of AI/ML has attracted the top tier investors and FinTech founders to London. Discover where the smart money is going, and meet active investors in this space.
In this session, you will learn how major companies and financial services organisations are operationalising AI & ML. Through case studies and peer group discussion, understand where the opportunities and challenges might lie for your organisation.
Note: Sessions are held on Tuesdays and Fridays, 9:00 a.m. UK Time. For full session schedule, please download the brochure.
Download Brochure
Gordon Graylish
Deeph Chana
Alex Ribeiro Castro
Marcin Kacperczyk
Pierre Dangauthier
Gordon Graylish
Programme Director
Gord has held a number of senior roles at Intel including Vice President and General Manager of the Governments and World Ahead division, working with governments and international agencies to accelerate the adoption of IT best practices and encourage the successful innovative use of technology. Gord was also a commissioner of The UN’s broadband commission and was previously Vice President and General Manager of Enterprise Solutions for Intel. Gord speaks frequently on the disruptive impact of technology on societies and how it can positively impact growth and development.
Deeph Chana
Imperial College Business School
Deeph has extensive experience of working on world leading STEM in academia, industry and government and brings a wealth of knowledge and expertise to Imperial College London’s executive education programmes. Deeph is also Deputy Director of the Institute for Security Science Technology, co-founder of the UK-Government funded Research Institute in Trustworthy Industrial Control Systems and Imperial’s FinTech Network of Excellence.
Alex Ribeiro Castro
Imperial College Business School
Alex holds an advisory position linked to the Business Analytics MSc and is an occasional guest lecturer for Executive Education. He also works as a quantitative analyst for the financial industry. He was previously a Data Scientist and Senior Teaching Fellow at Imperial College Business School.
Marcin Kacperczyk
Imperial College Business School
Marcin Kacperczyk is a Professor of Finance at Imperial College Business School. Marcin has extensive experience in the field of machine learning and has recently been appointed as research consultant to the European Central Bank. His research interests include artificial intelligence, machine learning, money markets, mutual funds, social responsibility, empirical asset pricing, behavioural finance and decision theory.
Pierre Dangauthier
Head of Quantitative Analytics, Smarkets
Pierre is the head of Quantitative Analytics at Smarkets, one of the leading betting exchanges. He is specialised in systematic marketmaking and machine learning. Pierre was previously a VP on Credit Suisse’s bond e-trading desk and a member of Barclays Wealth’s quantitative analytics team. Pierre designs statistical models and machine learning algorithms with application to financial markets. His domain of expertise is a combination of modern applied statistics, computer sciences and financial engineering.
Upon completion of the programme, participants will be awarded a verified Digital Certificate by Imperial College Business School Executive Education.
Note: As a live executive education programme, participant attendance and contribution is key to the learning experience and value of the programme. As such, participants are required to attend (or watch recordings of) 80% of the live sessions to receive their Certificate.
Download Brochure