Giving credit credit in the board room, with Marlize Buys (Most Probably) episode artwork

EPISODE · Dec 11, 2025 · 56 MIN

Giving credit credit in the board room, with Marlize Buys (Most Probably)

from How to Lend Money to Strangers

Data analytics is no longer an isolated and arcane backroom activity to be understood by only a handful of geeks, it's at the core of every successful lending business.For those of us that have grown up in data science, that's great news, but that rising prominence also means that a new audience must now come to terms with the implications of machine learning versus logistic regression scores, with gini coefficients and information values and bins and weights, etc. And that new audience is an important one: the Board. Marlize Buys started her career getting hands-on with credit scorecards, then she helped to build a lending business of her own, and now she is advising the boards of major banks with that particular transition.Marlize has been so busy optimising lending businesses that she hasn't quite got her website up and running, but Most Probably is on LinkedIn at https://www.linkedin.com/company/most-probably/ Or you can speak to her directly https://www.linkedin.com/in/marlizebuys/ I'm on LinkedIn, too, at https://www.linkedin.com/in/brendanlegrange/As is the show, please follow its page at https://www.linkedin.com/company/how-to-lend-money-to-strangers/ (once you have followed, look for the circle with the three dots in the header section, click that and then 'invite connections' and invite any of your colleagues who you think might like the contentYou can support the show by buying one of my guests via the affiliate links on my site (it doesn't cost you anything extra): https://www.howtolendmoneytostrangers.show/recommended-readsCommercial partners include (when you click one of these affiliate links, I earn a small commission but you won't pay a cent more)ProtonVPN Browse privately with a community-owned secure VPN that safeguards your privacy. https://go.getproton.me/aff_c?offer_id=26&aff_id=12767Ogma Risk & Analytics: Customized risk management and analytic consulting for you https://www.ogmara.com/?utm_source=HTLMTS&utm_medium=banner&utm_campaign=OGMA+intro&utm_id=2501Friends of the show include: https://www.ontap.co.za/pages/hoedspruit-store-details (for all your Hoedspruit-based bathroom needs), https://www.joinhumoni.com, https://www.haboomoney.com/, and https://beetlesense.aiAnd since you like podcasts, I'm also co-create hAIghtened senses with Christo van Zyl, in which looks at the intersection between human senses and technologyKeep well, Brendan Hosted on Acast. See acast.com/privacy for more information.

Data analytics is no longer an isolated and arcane backroom activity to be understood by only a handful of geeks, it's at the core of every successful lending business.For those of us that have grown up in data science, that's great news, but that rising prominence also means that a new audience must now come to terms with the implications of machine learning versus logistic regression scores, with gini coefficients and information values and bins and weights, etc. And that new audience is an important one: the Board. Marlize Buys started her career getting hands-on with credit scorecards, then she helped to build a lending business of her own, and now she is advising the boards of major banks with that particular transition.Marlize has been so busy optimising lending businesses that she hasn't quite got her website up and running, but Most Probably is on LinkedIn at https://www.linkedin.com/company/most-probably/ Or you can speak to her directly https://www.linkedin.com/in/marlizebuys/ I'm on LinkedIn, too, at https://www.linkedin.com/in/brendanlegrange/As is the show, please follow its page at https://www.linkedin.com/company/how-to-lend-money-to-strangers/ (once you have followed, look for the circle with the three dots in the header section, click that and then 'invite connections' and invite any of your colleagues who you think might like the contentYou can support the show by buying one of my guests via the affiliate links on my site (it doesn't cost you anything extra): https://www.howtolendmoneytostrangers.show/recommended-readsCommercial partners include (when you click one of these affiliate links, I earn a small commission but you won't pay a cent more)ProtonVPN Browse privately with a community-owned secure VPN that safeguards your privacy. https://go.getproton.me/aff_c?offer_id=26&aff_id=12767Ogma Risk & Analytics: Customized risk management and analytic consulting for you https://www.ogmara.com/?utm_source=HTLMTS&utm_medium=banner&utm_campaign=OGMA+intro&utm_id=2501Friends of the show include: https://www.ontap.co.za/pages/hoedspruit-store-details (for all your Hoedspruit-based bathroom needs), https://www.joinhumoni.com, https://www.haboomoney.com/, and https://beetlesense.aiAnd since you like podcasts, I'm also co-create hAIghtened senses with Christo van Zyl, in which looks at the intersection between human senses and technologyKeep well, Brendan Hosted on Acast. See acast.com/privacy for more information.

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Giving credit credit in the board room, with Marlize Buys (Most Probably)

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This episode was published on December 11, 2025.

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Data analytics is no longer an isolated and arcane backroom activity to be understood by only a handful of geeks, it's at the core of every successful lending business.For those of us that have grown up in data science, that's great news, but that...

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