EXECUTIVE EDUCATION
EXECUTIVE EDUCATION
Move into the cutting edge by learning how to apply the latest digital technologies to banking. Engage with Imperial faculty live online.
7 April 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.
The Imperial Fintech programme is one of the offerings in the Imperial Virtual Programme portfolio, characterised by live interactive sessions with faculty. Financial technology, or Fintech, refers to the use of technology by financial services companies to improve its use or services to consumers.
This intensive four-week programme provides you the opportunity to delve into how the coming together of technology and finance has created disruption and synergies in the traditional banking and finance industry.
Through this immersive and interactive programme you will:
Fundraising in fintech-related banking and capital markets
Fintech start-ups in financial services that have valuations of more than $1B
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 mid to senior level professionals wanting to gain an understanding of how the fintech ecosystem operates. Participants come from all over the world and hold an interest in strategy and innovation, working in industries such as construction, professional services and finance. An understanding of finance principles would be advantageous; however, no banking experience is required.
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.
To understand the disruption in banking with the help of fintech you first need to understand the main pillars of banks. What is the origin of banking? What has led to the current form of banks? Thus, understanding the strengths and weaknesses of banks can help us isolate the areas where you could see disruption.
In the age of the Internet, banks have lost their monopoly on finance. A growing number of crowdfunding operators, P2P lenders, and investment-based platforms allow businesses to access capital on favourable terms. However, as the alternative finance industry matures, existing operators have been arguing for greater regulatory oversight to act as a barrier to entry for new platforms.
This session introduces the main approaches to finance based on machine learning techniques. A crucial element in successfully applying machine learning to finance requires finding relevant tasks. At the same time, machine learning algorithms can be applied naively or their output can be misinterpreted. The class aims to make them conceptually easier to use by providing a crisper understanding of how these algorithms work, where they can be most usefully applied.
Consider the argument that machine learning revolves around the problem of prediction, while many economic applications revolve around parameter estimation.
Today, there is a growing trend towards digital banks, in this module we talk about the strengths of the digital banks and how they differ from traditional banks. Also, we explore the challenges traditional banks face in their digital transition.
This session will feature an industry expert who will share their experience and showcase how you can implement your learnings in your organisation.
This session will feature an industry expert who will share their experience and showcase how you can implement your learnings in your organisation.
The Programme Director will conclude the programme and consolidate your learning.
To understand the disruption in banking with the help of fintech you first need to understand the main pillars of banks. What is the origin of banking? What has led to the current form of banks? Thus, understanding the strengths and weaknesses of banks can help us isolate the areas where you could see disruption.
Today, there is a growing trend towards digital banks, in this module we talk about the strengths of the digital banks and how they differ from traditional banks. Also, we explore the challenges traditional banks face in their digital transition.
In the age of the Internet, banks have lost their monopoly on finance. A growing number of crowdfunding operators, P2P lenders, and investment-based platforms allow businesses to access capital on favourable terms. However, as the alternative finance industry matures, existing operators have been arguing for greater regulatory oversight to act as a barrier to entry for new platforms.
This session will feature an industry expert who will share their experience and showcase how you can implement your learnings in your organisation.
This session introduces the main approaches to finance based on machine learning techniques. A crucial element in successfully applying machine learning to finance requires finding relevant tasks. At the same time, machine learning algorithms can be applied naively or their output can be misinterpreted. The class aims to make them conceptually easier to use by providing a crisper understanding of how these algorithms work, where they can be most usefully applied.
This session will feature an industry expert who will share their experience and showcase how you can implement your learnings in your organisation.
Consider the argument that machine learning revolves around the problem of prediction, while many economic applications revolve around parameter estimation.
The Programme Director will conclude the programme and consolidate your learning.
Note: Sessions are held on Tuesdays and Fridays, 9:00 a.m. UK Time. For full session schedule, please download the brochure.
Download Brochure
Helene Panzarino
José-Luis Peydró
Stephen Hansen
Helene Panzarino
Programme Director
Originally a Commercial Banker with one of the largest global banks, Helene is a highly experienced Investment Readiness Consultant and Entrepreneur, who successfully created and launched the Inaugural Programme of Education and Events for the UK Fintech trade body, Innovate Finance, an Alternative Finance Investment Readiness Programme aimed at connecting SMEs to the right finance provider, and a Fintech and Financial Services consultancy programme to educate and connect large FS providers with early stage Fintech businesses.
José-Luis Peydró
Imperial College Business School
José-Luis Peydró is Professor of Finance at Imperial College London, and CEPR Research Fellow. His research on Banking and Systemic Risk has been published in the top journals in Economics and Finance such as JFE, RFS, JF, AER and Econometrica.Professor Peydró has presented his research in top universities including Harvard, MIT, Princeton, Stanford, Columbia, NYU, LSE, Oxford and LBS and in policy organisations such as the Federal Reserve Board, New York Fed, IMF, WB, BIS, ECB, Bundesbank, and Bank of England.
Stephen Hansen
Imperial College Business School
Stephen is an Associate Professor of Economics at Imperial College Business School. He regularly advises central banks on organisational economics and monetary policy. Stephen’s research focuses on unstructured data sources and machine learning methods.
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 BrochureFlexible payment options available.
