Python for Financial Markets

Sessions include data analysis in python and financial market case studies using python

Join us for this online course specifically designed for those working with Python.

Attendees will gain a new understanding of Python in financial markets and how it may be beneficial in their organizations. Topics such as data analysis in Python as well as analysis of financial data will be covered in-depth by our seasoned instructor.

Over the course of four days, delegates will have the opportunity to learn from our course instructor, Saeed Amen, the founder of Cuemacro. Saeed has previously worked at companies such as Nomura and Lehman Brothers developing algorithmic trading strategies. Each day of this fully online training will comprise of a two hour presentation followed by an hour of tutorial. There will be plenty of opportunity for discussion and Q&A.

Join us to learn how Python can be beneficial and applicable for your organization.

More dates added: 

Next Python for Financial Markets course will be held in-person in London on November 8–10.
Online registrations will open soon, but you can reserve your seat now by e-mailing us on [email protected]

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What will you learn?
  • An introduction to Python I

  • Data analysis in Python including NumPy and Pandas

  • Analysis of financial data including market drivers

  • How to backtest a trading strategy in Python

  • Financial market case studies

  • Understanding the behaviour of FX around major data events

  • Tutorial based applications 

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Who should attend?
  • Financial data

  • Python

  • Natural language processing

  • Data analysis 

  • Machine learning 

Sessions include
  • Introduction to Python I and tutorial

  • Data analysis in Python and tutorial

  • Analysis of financial data and tutorial

  • Financial market case studies using Python and tutorial

Pricing options

We offer flexible pricing options for this course:

  • Early bird rates - save up to $500

  • Group booking rate - save over $1500

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

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Saeed Amen

Founder, cuemacro and visiting lecturer

Queen Mary University of London

Saeed Amen is the founder of Cuemacro. Over the past fifteen years, Saeed Amen has developed systematic trading strategies at major investment banks including Lehman Brothers and Nomura. He is also the author of Trading Thalesians: What the ancient world can teach us about trading today (Palgrave Macmillan) and is the co-author of The Book of Alternative Data (Wiley), due in 2020.

Through Cuemacro, he now consults and publishes research for clients in the area of systematic trading. He has developed many Python libraries including finmarketpy and tcapy for transaction cost analysis. His clients have included major quant funds and data companies such as Bloomberg. He has presented his work at many conferences and institutions which include the ECB, IMF, Bank of England and Federal Reserve Board. He is also a co-founder of the Thalesians.

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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