AI & Machine Learning in Financial Services

Imperial College Business School

How long?

  • 4 weeks
  • online

Imperial College Business School

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Who should attend

This programme is designed for professionals wanting to learn about AI in finance and 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 three intensive days, you will need a good grounding in finance and statistical techniques.

About the course

Why enrol for the AI & Machine Learning in Financial Services Programme?

Artificial intelligence and machine learning 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:

  • Gain a solid foundation in AI, ‘big data’ and machine learning

  • Make better decisions using evolving techniques

  • Explore what innovation will look like within financial services

  • Develop practical techniques that can be implemented today

About Imperial Virtual Programmes

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.

  • Learn in real-time through live interactive sessions from Imperial faculty and industry leaders

  • Intensive approach that fits into your busy schedule

  • Two live sessions per week, 90 minutes plus Q&A

  • Engaging, cutting-edge learning platform with mobile access

  • Limited seats available; secure your seat early

  • All live sessions are recorded so you can view them again at any time during the programme

Imperial Executive Education Associate Alumni Benefits

Complete more than eight programme days or equivalent hours (56) for online and virtual programmes to claim 'Associate Alumni' status and join our active alumni community. Some of the benefits of becoming an Associate Alumni include:

  • 25% discount on future Imperial College Executive Education open programmes for up to three colleagues from your organisation per year

  • Access to the Imperial College Business School Alumni LinkedIn group

  • Invitations to Executive Education and Business School events and webinars

  • Invitations to worldwide alumni events

  • Receive the monthly IB Knowledge newsletter

What You Will Learn

Orientation Period

There is a one-week orientation period from the programme start date where you will have the opportunity to familiarise yourself with the learning platform, meet fellow participants and prepare for the programme ahead. We continue to accept bookings during the orientation period until live teaching sessions begin.

Programme Content

Note: Live teaching sessions begin after the orientation period. Sessions are normally held on Tuesdays and Fridays, 9:00 - 11:00 a.m. UK Time. Please download the brochure for full session schedule.

Module 1: Machine Learning Fundamentals

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.

Module 2: Regulatory Implications of AI

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.

Module 3: AI & ML - The Big Idea

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.

Module 4: Understanding the challenges and opportunities of implementation

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.

Module 5: Operationalising AI & ML

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.

Module 6: The IT Organisation - How to Enter the World of AI/ML

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.

Module 7: AI/ML Challenges and Opportunities Panel

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.

Experts

Marcin Kacperczyk

Summary Private Website

Pierre Dangauthier

Pierre Dangauthier is the head of Quantitative Analytics at Smarkets, one of the leading betting exchanges. He is specialized in systematic market making and machine learning. He received a Ph.D. degree in statistical learning in 2007 from INRIA for a joint work with Microsoft Research Cambridge...

Deeph Chana

Deeph has extensive experience of working on world leading STEM in academia, industry and government. He is Professor of Practice within Imperial's Business School, Deputy Director of the Institute for Security Science Technology and is co-founder of the UK-Goverment funded Research Institute in ...

Alex Ribeiro-Castro

Alex is a Data Scientist/Senior Teaching Fellow with the Operations Management department at ICBS, and an active teacher in the Global Business Analytics MSc. He holds a M.A. and PhD in Mathematics from the University of California (Santa Cruz), and held a professorship in Mathematics from the Po...

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AI & Machine Learning in Financial Services at Imperial College Business School

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

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