Machine Learning in Finance

Explore the fundamentals of machine learning through this practitioner-led course covering the principal aspects and applications of machine learning.

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Machine Learning in Finance

28 September - 1 October, 2020

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This introductory course has been developed for delegates new to the subject, or wanting to refresh their knowledge of, the fundamental principles of machine learning and how it applies to financial organisations. 

This virtual training course will explore the core components of machine learning from objective function to model interpretation and validation.

Attendees will have the opportunity to learn about the importance of data quality and how to identify, process and analyse data appropriately. 

Sessions will address the parameters of model selection and explainability and how machine learning can then be applied to financial risk, investment management and portfolio strategies. 

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What will you learn?

  • Understand the difference between modern statistics, ML and AI 

  • Why machine learning is becoming more important to financial organisations 

  • The importance of identifying data sources and types 

  • Understand the principles of model and variable selection

  • The differences between unsupervised, reinforcement and deep learning

  • Approaches to satisfy explainability 

  • Identifying and monitoring risk in ML

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Who should attend?

Relevant departments may include but are not limited to: 

  • Quantitative Development and Trading

  • Risk Management

  • Model Validation

  • Data Science

  • Machine learning

  • Portfolio Management

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Course highlights

  • Introduction to machine learning

  • Understanding data

  • Objective function in ML

  • From modern statistics to machine learning models

  • Interpreting and validating a model

  • Machine learning in investment management and portfolio optimisation

  • ML for risk practitioners

  • Machine learning in finance: putting it into practice

Online training

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

CPD / CPE Accreditation

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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.
I really enjoyed the course. The instructors are superb and the material current and well presented.
ICAP
The training was very informative. I learned a lot from the course, and would definitely attend such course again.
Federal Reserve Board
I found the training to be very good. I thought the depth of coverage was appropriate.
US Securities and Exchange Commission
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Not the course for you?

Risk Training offers a great selection of courses in finance, risk management, regulation and derivatives across North America, Asia and Europe for you to choose from.

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