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Lending & Credit Risk Member Business Lending Small Business Lending

Create profitable small business lending by standardizing and automating risk assessment

Thursday, April 25, 2024
2:00 PM ET / 1:00 PM CT

Over the last decade, financial institutions have struggled to maintain market share in the small business (SMB) lending space as they’ve tried to balance sound risk assessment and speed, hampered by slow technology adoption. 

This webinar explores how banks and credit unions can regain competitiveness by leveraging standardized risk scoring for small business loans. By adopting a universal and comprehensive score, institutions can analyze portfolio trends, provide insights into application outcomes, and enhance risk management. This is crucial for retaining relationships and deposits long-term while also ensuring profitable small business lending growth. 

You will learn:

  • Why community financial institutions are seeing their market share shrink in SMB lending
  • How standardized risk assessments improve efficiency, monitor risk, and get funds to borrowers faster
  • How to use data from risk score models to sustain banking relationships and offer additional revenue opportunities

Meet Your Presenters

Jacob Malmborg

CEO & Co-founder
Jacob Malmborg is the co-founder, CEO and product architect of CHARM Solutions which strives to help small businesses prosper globally. He has deep mathematical, product and entrepreneurial experience in business credit and financing across multiple markets, financing products and customer segments with over 15 years of professional experience in the

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Scott Lascelles

Senior Advisor, Bank Partnership
Scott is currently a Senior Advisor at Charm.  He also serves on the Board of LendingUSA as Chairman of the Risk Committee and on the Foundation Board of the Mary Campbell Center, a home for children and adults with disabilities. He has spent the past several years consulting for Fintechs,

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Florian Lyonnet, PhD

Chief Data Scientist
Florian Lyonnet holds a PhD in Theoretical Physics. He has 10 years of experience building analytical solutions, using standard analytics, machine learning and optimization. Florian has developed predictive models for a whole range of business problems with a strong focus on credit life cycle. For the last 6 years, he

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