Course description
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 industries, 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 about how to identify and address the potential challenges, pitfalls and risks in the use of alternative data.
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Suitability - Who should attend?
- Alternative data
- Credit assessment
- Risk management
- Data science
- Data analysis
- Compliance
Outcome / Qualification etc.
- 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
Course delivery details
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
Why choose Risk Training
5,000+ Attendee's per year
500+ Companies per year
95% Satisfaction rate
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