Engage with Imperial faculty live online
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.
Learn how Big Data and Commodity Trading Advisor (CTA) are shaping the investment landscape.
Risk management is a complex system. Examine dependency patterns and the importance of capturing their sequential evolution.
Understand how AI and Machine Learning solutions are improving investment decisions, allowing organisations to manage their financial assets, reducing costs and ultimately increasing revenues.
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.
Understand how AI and Machine Learning solutions are improving investment decisions, allowing organisations to manage their financial assets, reducing costs and ultimately increasing revenues.
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.
Learn how Big Data and Commodity Trading Advisor (CTA) are shaping the investment landscape.
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.
Risk management is a complex system. Examine dependency patterns and the importance of capturing their sequential evolution.
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
Enrico Biffis
Andrea Buraschi
Marcin Kacperczyk
Paolo Zaffaroni
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.
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 and Insurance Center at LMU Munich, and an editor of ASTIN Bulletin – The Journal of the International Actuarial Association.
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, asset pricing and derivatives, and financial econometrics. With an extensive career in academia and advising organisations, Andrea has received many awards in different areas of research and teaching excellence.
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.
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 and holds a PhD in Econometrics from the London School of Economics. He is also teaching at the University of Rome La Sapienza and has previously taught at the London School of Economics and at the University of Cambridge.
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