AI & Machine Learning in Financial Services

Imperial College Business School

How long?

  • 3 days
  • in person

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

AI & machine learning in financial services course overview

Imperial Artificial Intelligence (AI) & Machine Learning in Financial Services programme is a three-day course that explores the role of emerging algorithmic techniques on financial decisions. Drawing on knowledge from Imperial College Business School faculty, industry experts, case studies and your peers, you will apply key elements of artificial intelligence (AI) and machine learning to your organisation, increasing the efficiency and accuracy of decision making.

Knowledge of machine learning in finance

Through this immersive, hands-on training programme, you will gain an understanding of the fundamentals of AI and machine learning and how aspects such as big data apply to financial functions such as fraud detection, lending processes, asset management, risk assessment, regulatory compliance and beyond.

You will walk away prepared to implement what you’ve learnt, ensuring your organisation is maximising the value of its live and historic data.

Learning outcomes

Gain a good understanding of the main concepts of AI and machine learning

Understand how to operationalise AI and machine learning

Be able to identify key areas to apply AI and machine learning techniques within your teams and workplace

Be able to appreciate the advantages that AI and machine learning techniques can add to various portfolio and risk management strategies

Experts

Enrico Biffis

Summary Enrico Biffis is Associate Professor of Actuarial Finance at Imperial College Business School, a fellow of the Pensions Institute in London, and a member of the Munich Risk and Insurance Centre at LMU Munich. His areas of expertise are risk analysis and asset-liability management, with a ...

Andrea Buraschi

Summary Personal web page Professor Buraschi’s research interests are in the fields of Financial Economics, Asset Pricing and Derivatives, and Financial Econometrics. Professor Buraschi has previously held at The University of Chicago Booth School of Business as a Visiting Professor of Finance ...

Marcin Kacperczyk

Summary Private Website

Paolo Zaffaroni

Summary   Paolo 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...

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 ...

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

From  3490 GBP$4,537

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