Machine Learning London

With the recent success of our Canadian training course, Risk Training is happy to announce that our Machine Learning in Finance: A Quantitative Approach is coming to London this September!

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Machine Learning in Finance:

A Quantitative Approach

London, 25 - 26 June 2019

This two day training course will provide delegates with an in-depth understanding of machine learning applications. This course will be a technical look at machine learning and provide suggestions and strategies for integrating it within your organization.

The multi-tutor format will provide attendees with an understanding of key theory, models, and more advanced tools in machine learning solutions through a quantitative approach that will also consider portfolio construction, trading, risk management and other business areas.

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Course Highlights
  • Understanding machine learning methodology from a quantitative approach
  • Gain knowledge of big data in the finance landscape and modern data analysis
  • Insight in to machine learning models and how they can be applied in practice
  • Comprehending what future opportunities there are in finance with machine learning
  • Understanding the relationship between machine learning and risk
  • Looking at machine learning methods to address portfolio optimisation issues
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Who Should Attend

This course is primarily aimed at those working in financial institutions; as well as regulatory bodies, advisory firms and technology vendors however Risk Training welcomes anyone who would benefit from this training. Specific job titles may include but are not limited to:

  • Machine learning
  • Portfolio management
  • Asset allocation
  • Data science
  • Financial engineering
  • Quantitative analytics
  • Quantitative modelling
  • Innovation
  • Forecasting
  • Infrastructure and technology
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Learning Outcomes
  • Learn where the industry currently stands with regards to machine learning applications in finance from a quantitative view
  • Understand challenges related to data infrastructure and technology
  • Insight into the evolution of machine learning and different financial industry perspectives
  • How to discover knowledge from large volumes of data and the challenges related to data infrastructure and technology
  • Learn about capabilities of machine learning tools in portfolio construction, trading and risk management
  • Discuss classical and advanced models

Amba Hotel

Strand,
Charing Cross,
London, 
WC2N 5HX

Venue information

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