Machine Learning in Finance

Explore practical examples of machine learning successes, challenges, and advancements in risk management

Advancements in machine learning (ML) applications have developed significantly in banking, risk management & modelling. During this 4-day interactive virtual course, will explore the types of unsupervised learning methods applied to financial data and recent advances in sequential and deep learning.

Sessions will focus on practical examples of ML for trading strategies including sentiment analysis for trading and back testing. Subject-matter expert Eric Tham will give participants the opportunity to discuss alternative data and the challenges, approaches, and practical use cases, associated with using it as well as how to use graphical ML in investment strategies. 

The course will develop participants understanding of the metrics of explainability/ interpretability of using AI and behavioural and quantitative finance applications of this. Practical case study applications focusing on ML use cases will allow participants to apply the theoretical knowledge taught in the course sessions to real world examples
 

What will you learn?
  • Impact of recent approaches to finance and regulatory compliance for unsupervised learning when applied to financial data

  • Recent advances in sequential and deep learning

  • Best practices for creating and applying investment strategies with ML and graphical ML

  • Understanding the challenges of using alternative data with practical examples

  • Identifying the metrics of explainability/ interpretability of AI models

  • Practical examples of applying ML 

Who should attend?

Relevant departments may include but are not limited to: 

  • Machine learning

  • Risk management

  • Portfolio management

  • Data science

  • Financial engineering

  • Quantitative analytics

  • Quantitative modelling

Sessions include
  • Machine learning in finance: opportunities and limitations

  • Unsupervised learning applied to financial data

  • Recent advances in sequential and deep learning

  • Investment strategies with machine learning

  • Alternative data for traders and natural language processing

  • Graphical ML in finance

  • Explainable AI in finance 

  • Applying machine learning in practice

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Pricing options

We offer flexible pricing options for this course:

  • Early bird rates 

  • Group rate

  • Enterprise rates

  • Visit registration page for further information

  • Subscribe to receive Risk Training updates and avoid missing out on additional savings

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Eric Tham

Senior Lecturer, Data Science

James Cook University Australia

Dr. Eric Tham is an experienced data science and finance professional with more than a decade of experience in the financial industry. He mixes practicum with his personal working experience in the Fintech and data science sectors. He has a passion to groom and train the next generation of data science professionals.

His research interests are at the intersection of behavioural finance and AI/ML, and have been presented at the American Economics Association (AEA/AFA) meetings, Miami Behavioral Finance conference, the European Financial Management Association (EFMA) meetings, the Australasian Banking and Finance conference (ABFC) and the Risk managment conference at NUS. He has won a research grant from the Think Forward Initiative for his research on social media trust.

Live Virtual training courses

 

Our live virtual training courses have been designed to engage and inspire you. Much more than a webinar, our approach includes:

  • Technical content compressed into 60-minute interactive sessions and spread out over two, three or four days

  • Facilitated collaboration including Q&A, interactive polling and group workshops

  • Live interaction with subject matter experts – get your questions answered in real time

  • Receive comprehensive course materials and supporting content from Risk.net to reinforce your learning

  • Stay connected with other learners and extend your network by joining our dedicated LinkedIn group for course participants

Not the course for you?

Risk Training offers a great selection of courses providing practical guidance on the latest trends, challenges and regulatory changes that span risk management, regulation and derivatives.

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E-Learning

Risk Training’s self-paced E-Learning platform offers Essentials of Operational Risk programme, plus more topics to come soon.
 

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