Alternative Data in Risk Management

  • 4 days
  • Transformation & technology
View Agenda

Key reasons to attend

  • Differentiate between traditional data and alternative data (alt data)

  • Utilise the benefits of alt data in credit risk assessment

  • Create and use frameworks of alternative credit scoring

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About the course

Alternative data, or ‘unstructured data’, refers to the non-traditional data beyond the typical financial sources, such as geolocation, payment history and social media. The rise in the use of alternative data has enabled the financial services, including banks, to shape better decision making and credit assessment. 

This virtual live training course will explore the application of alternative data in the current financial industry and the effective practices of unstructured data set management, analysis and processing models. Attendees will have the opportunity to learn how to identify and address the potential challenges, pitfalls and risks in the use of alternative data. 

Learning objectives

  • Differentiate between traditional data and alternative data (alt data)

  • Utilise the benefits of alt data in credit risk assessment

  • Create and use frameworks of alternative credit scoring

  • Navigate the potential challenges and risks of using alt data

  • Detect financial crimes using alternative data

  • Successfully manage the alt data set

  • Enhance risk management practices through using machine learning and alt data

Who should attend

Relevant departments may include but are not limited to:

  • Alternative data

  • Credit assessment 

  • Risk management 

  • Data science 

  • Data analysis 

  • Compliance 

Agenda

  • Overview of alternative data in finance

  • Managing the alternative data set

  • Alternative data and credit assessment

  • Alternative credit scoring model

  • Alternative data in compliance and financial crime management

  • Addressing the challenges of alternative data usage

  • Machine learning and alternative data

  • Alternative data and ethical AI

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