Python applications in financial services

  • Data and technology, AI and machine learning
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Key reasons to attend 

  • Learn to use Python effectively in a variety of financial risk settings 

  • Explore practical use cases including data analysis and library creation 

  • Apply theory into practice with structured tutorials 

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About the course

This expert-led learning event will equip participants with the practical skills and knowledge to effectively use Python in a variety of financial risk settings.

Participants will explore the many features of Python and practical use cases within financial markets, including data analysis and library creation. With a hands-on Python tutorial at the end of each day, this dynamic course will provide participants with the opportunity to apply the theory shared in the main sessions, as well as engage in live interaction and questions with the course expert. 

By the end of the course, participants will have learned the necessary tools to facilitate successful programming, data considerations and backtesting in line with best market practice in the financial industry.

Flexible pricing options:

  1. Early-bird rate: book in advance and save $200 

  2. 3-for-2 group rate: book three delegates for the price of two and save more than $2,000 

  3. Season tickets: book a team of 10 or more and save up to 50%

Learning objectives

  • Master the basics and fundamentals of Python

  • Visualise data libraries using different programmes 

  • Identify the types of financial data used for analysis

  • Discuss the key considerations for creating a trading strategy

  • Recognise the behaviour of foreign exchange around major data events

  • Develop skills of Python use through tutorials and case studies 

Who should attend

Relevant departments may include but are not limited to:

  • Financial data 

  • Python 

  • Data analysis  

  • Machine learning  



  • Introduction to Python I 

  • Tutorial for introduction to Python I 

  • Data analysis in Python 

  • Tutorial for data analysis in Python  

  • Analysis of financial data 

  • Tutorial for analysis of financial data 

  • Financial market case studies using Python 

  • Tutorial for financial market case studies using Python 

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This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.

Pre-reading materials

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  • Agenda and registration process
  • Group booking rates
  • Customisation of this programme
  • Season tickets options

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