Start Dates: TBC
Duration: 9 Days over 9 weeks on Wednesday evenings (7pm - 8.30pm)
January to April 2024
Location: Online
Full Fee: €1,299
Network Members Fee: €865
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Programme overview
The Financial Machine Learning and Automation Micro-Credential develops knowledge of the techniques of machine learning to learn from financial data and build new types of financial models. Through the application of artificial neural networks, support vector machines, random forests, and gradient boosting, we will bring new understanding to financial models.
The machine learning techniques are applied to build, for example, asset pricing models, credit acceptance /rejection models, and fraud detection models. There will also be coverage of the practical issues of setting up secure data infrastructures for implementing these techniques in the firm. A second focus will be on how to use machine learning, as well as other tools, to implement automation to financial services provision in the firm. The Financial Machine Learning and Automation Micro-Credential is delivered through the Python language
Learning outcomes:
Having completed the Financial Machine Learning and Automation Micro-Credential module you will be able to:
- Demonstrate understanding of the key machine learning techniques of benefit to financial modeling
- Apply machine learning techniques appropriately in a variety of practical financial context
- Understand the data needs, and appropriate and secure data handling skills, for working with financial models
- Implement automation to financial decision making based on financial machine learning and understanding of financial technology
Who is the module for?
Participants who want to learn more about financial machine learning and automation.
Module:
- Demonstrate understanding of the key machine learning techniques of benefit to financial modeling
- Apply machine learning techniques appropriately in a variety of practical financial context
- Understand the data needs, and appropriate and secure data handling skills, for working with financial models
- Implement automation to financial decision making based on financial machine learning and understanding of financial technology
Trainer Profile
