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From Data to Decisions - Machine Learning & AI in Finance

Overview

Machine learning and artificial intelligence are going to change radically the decision making processes in financial institutions. They will impact investment signals in asset and wealth management. They will influence how people analyse concentration, scenario and operational risks. In addition, we will know clients much better than we currently do, leading to a more bespoke, though industrialised service. This foundation in AI, big data, and machine learning in finance will allow you to make better decisions using these evolving techniques.

Who should attend?

  • Decision makers
  • Portfolio managers
  • Risk managers
  • Wealth management
  • Pension fund managers
  • Insurance companies

Programme content

Morning – Investors

Behavioural finance: understanding financial agents  based on their (ir)rationality & emotions

  • A description of the individuals’ behaviour as investors: theories & case studies
  • How to use data in order to help individuals make decisions
  • Case study: transposing the findings on Tesco to the financial industry

Afternoon – Investment

Understanding the new trends to generate performance

  • Making decisions of qualitative and quantitative signals
  • Techniques that improve performance and can help portfolio managers
  • From a classical to a big-data approach.
  • Case study

Morning – Risk Management

  • A new approach on counterparty risk
  • Case study: the CDS market & contagion
  • Other applications of financial analytics to other risk management topics

Afternoon – The IT organisation required to handle projects efficiently

  • Data security and interaction with the cloud
  • Bespoke programming versus open architecture code
  • Different challenges in the financial world as opposed to elsewhere

Morning

Using the KPMG Global Data Observatory for investment projects

Case study: visualisation of index based investment strategies

Afternoon

Using the KPMG Global Data Observatory for investment projects

Case study: visualisation of participants big data challenges

Open panel discussion – with representatives from industry and academia

Programme key info

07/02/2018
09/02/2018
3 days
Imperial College Business School
£3,490

Previous Exec-Ed participants

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