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In this episode of the Risk Management Show, we rethink credit risk with alternative data alongside Michele Tucci, co-founder and Chief Strategic Officer at Credolab.
Michele shares his extensive global career journey, from working with Capital One Bank and Banca Intesa to driving innovation at CredoLab, a leader in leveraging behavioral biometrics and device metadata to revolutionize credit scoring.
We discussed how Credolab's privacy-consented approach transforms smartphone data into actionable insights, enabling mainstream financial inclusion and enhancing risk assessment accuracy.
Michele also tackled misconceptions about credit scoring, the challenges of financial inclusion, and the critical role of alternative data in addressing data asymmetry.
Discover how behavioral patterns, from keystroke cadence to app usage, can predict creditworthiness while preserving privacy.
If you want to be our guest or suggest someone, send your email to [email protected] with the subject line "Guest Proposal."
🌐 Join our community for even more insights:
Online Community: https://globalriskcommunity.com/
LinkedIn Page: https://www.linkedin.com/company/globalrisk-community/
LinkedIn Group: https://www.linkedin.com/groups/3701313/ Academy platform: https://globalriskacademy.com/courses/
5
1010 ratings
In this episode of the Risk Management Show, we rethink credit risk with alternative data alongside Michele Tucci, co-founder and Chief Strategic Officer at Credolab.
Michele shares his extensive global career journey, from working with Capital One Bank and Banca Intesa to driving innovation at CredoLab, a leader in leveraging behavioral biometrics and device metadata to revolutionize credit scoring.
We discussed how Credolab's privacy-consented approach transforms smartphone data into actionable insights, enabling mainstream financial inclusion and enhancing risk assessment accuracy.
Michele also tackled misconceptions about credit scoring, the challenges of financial inclusion, and the critical role of alternative data in addressing data asymmetry.
Discover how behavioral patterns, from keystroke cadence to app usage, can predict creditworthiness while preserving privacy.
If you want to be our guest or suggest someone, send your email to [email protected] with the subject line "Guest Proposal."
🌐 Join our community for even more insights:
Online Community: https://globalriskcommunity.com/
LinkedIn Page: https://www.linkedin.com/company/globalrisk-community/
LinkedIn Group: https://www.linkedin.com/groups/3701313/ Academy platform: https://globalriskacademy.com/courses/
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