9 October 2020
4 weeks (excluding orientation)
5-7 hours per week
2 live virtual sessions per week
Note: Live teaching sessions begin after the orientation week. Please see the schedule below for dates and times.
Orientation week: You will have access to the learning platform from the programme start date. There will be no live learning sessions during the first full week, though you will have the opportunity to familiarise yourself with the learning platform and prepare for the programme ahead.
Machine learning and artificial intelligence will radically change the decision-making processes in financial institutions, impacting investment signals in asset and wealth management, and influencing how people analyse concentration, scenario and operational risks. Our virtual programme builds a strong foundation in artificial intelligence - AI, big data and machine learning to allow you to make better decisions using these evolving techniques.
Through this immersive and interactive programme you will:
Applying machine learning and AI technology to transform banking could generate billions in value for the industry.
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.
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.
Learn how Big Data and Commodity Trading Advisor (CTA) are shaping the investment landscape.
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.
Note: Each session commences at 9:00 AM UK Time.
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,…
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…
Enrico Biffis, Imperial College Business School
Enrico Biffis is an Associate Professor of Actuarial Finance at Imperial College Business School, a fellow of the Pensions Institute London, a member of the Munich Risk…
Andrea Buraschi, Imperial College Business School
Andrea Buraschi is a Professor of Finance at Imperial College Business School. Andrea’s research interests are in the fields of financial economics,…
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….
Paolo Zaffaroni, Imperial College Business School
Paolo Zaffaroni is Professor in Financial Econometrics at Imperial College Business School. He has a summa cum laude degree in economic statistics from Roma…
Pierre Dangauthier, Head of Quantitative Analytics, Smarkets
Pierre is the head of Quantitative Analytics at Smarkets, one of the leading betting exchanges…
Upon completion of the programme, participants will be awarded a verified Digital Certificate by Imperial College Business School Executive Education.DOWNLOAD BROCHURE
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 of Participation.