EXECUTIVE EDUCATION

AI & Machine Learning in Financial Services

Engage with Imperial faculty live online

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Course Dates
STARTS ON

TBD

Course Duration

DURATION

4 weeks
5-7 hours per week

Course Duration

PROGRAMME FEE

Note: Live teaching sessions begin after the orientation week. Please download the brochure for the session schedule.

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.

Why Enrol For The Artificial Intelligence - AI & Machine Learning In Financial Services Programme?

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:

  • 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

Applying machine learning and AI technology to transform banking could generate $250 billion in value for the industry.

SOURCE: MCKINSEY GLOBAL INSTITUTE, 2019

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
Download Brochure

Who Is This Program For?

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.

What You Will Learn

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.

Topic 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.

Topic 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.

Topic 3:

Machine Learning for Systematic Strategies

Learn how Big Data and Commodity Trading Advisor (CTA) are shaping the investment landscape.

Topic 4:

Machine Learning for Risk Management

Risk management is a complex system. Examine dependency patterns and the importance of capturing their sequential evolution.

Topic 5:

Machine Learning for Portfolio Management

Understand how AI and Machine Learning solutions are improving investment decisions, allowing organisations to manage their financial assets, reducing costs and ultimately increasing revenues.

Topic 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.

Topic 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.

Topic 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.

Topic 5:

Machine Learning for Portfolio Management

Understand how AI and Machine Learning solutions are improving investment decisions, allowing organisations to manage their financial assets, reducing costs and ultimately increasing revenues.

Topic 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.

Topic 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.

Topic 3:

Machine Learning for Systematic Strategies

Learn how Big Data and Commodity Trading Advisor (CTA) are shaping the investment landscape.

Topic 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.

Topic 4:

Machine Learning for Risk Management

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

Faculty

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,… More info

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… More info

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… More info

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,… More info

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… More info

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… More info

Pierre Dangauthier

Head of Quantitative Analytics, Smarkets

Pierre is the head of Quantitative Analytics at Smarkets, one of the leading betting exchanges... More info

Certificate

Certificate

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.

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Apply Now

Early registrations are encouraged. Seats fill up quickly!