Machine Learning London

Machine Learning in Finance, London - sessions cover opportunities and limitations, models, ML for trading, and future opportunities.


Machine Learning in Finance

November 27–28, 2019


Apply now

This course will provide strategies for integrating machine learning within your organisation whilst delivering case studies and practical examples.

This course is a great insight in to how machine learning can be applied. If you are looking for a course on coding or programming then please visit our Python for ML Course website


What will you learn?
  • What machine learning models look like and how this can be applied

  • How machine learning can be used for model validation

  • How alternative data can be used for investors

  • How important clean data is in machine learning and how data quality can be achieved

  • Application of machine learning to market microstructure and high frequency data

Request course guide

Who should attend
  • Machine learning

  • Portfolio management

  • Asset allocation

  • Data science

  • Financial engineering

  • Quantitative analytics

  • Quantitative modelling

  • Innovation

  • Forecasting

  • Infrastructure and technology

view pricing options

Course highlights
  • Alternative data for investors 

  • Machine learning labour – cleaning data

  • Modern ML applied to market microstructure and high-frequency data

  • Machine learning models 

  • Machine learning for model validation 

  • Case Study: AI and ML in financial crime

  • Case study: ML for risk management

View agenda topics

Past attendees
  • ABN AMRO Clearing Bank
  • Accenture
  • Banca IMI
  • BBVA
  • Citibank
  • Credit Suisse Banking 
  • ING Bank
  • Intermediate Capital Group
  • Investec UK
  • JHL Quantitative Analysis
  • Rabobank London
  • RBS
  • UK Pension Fund

Join the course

CPD / CPE Accreditation


CPD Accreditation

This course is CPD (Continued Professional Development) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event.

CPE Member

CPE Accreditation

This course is CPE (Continuing Professional Education) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event in accordance with the standards of the National Registry of CPE Sponsors.

Related Events

Machine Learning Toronto

Sessions include recent trends in machine learning application to quant finance, model risk, portfolio construction and location intelligence

  • Toronto, Canada

Cyber Risk Management and IT

This training programme is designed for anyone who is working in, or interacts with cyber risk in financial services. Sessions will cover key cyber risk considerations including where cyber risk fits into overall risk strategy and interacts with It, how to create a design, and more

  • Stockholm, Sweden

Model Risk Management London

A comprehensive overview of the current regulatory landscape of model risk management and best practice approaches for modelling across, risk pricing and credit models.

  • London