#DigLitBootcamp: Build an optimal scoring system based on your legacy data

Build an optimal scoring system based on your legacy data [track 4]

18 February 2020 Tuesday, 11:00-12:00 (Warsaw, Amsterdam, Sarajevo)

During the webinar, the participants will learn why and how they can use their current and past client information for assessing new loan requests. We will explain the process of statistical regression which can be used to analyze available client’s data to build an optimized scoring system allowing further to increase speed of loan assessment and improve overall quality of portfolio. We will detail what resources and capacities are required from the institution to develop and sustain the loan scoring over time.

Presenter: Peter Hauser, Business and Finance Consulting

  • Senior Bank Advisor
  • Over 20 years of experience in analytics, credit scoring, MSME lending development, and financial institution due diligence
  • Specializing in the development and implementation of statistical credit scoring systems for banks and MFIs
  • Holds an MBA from Georgetown University
  • Speaks fluent English and Russian

 
This webinar has received financial support from the European Union Programme for Employment and Social Innovation “EaSI” (2014-2020). For further information please consult: http://ec.europa.eu/social/easi
The information contained in this webinar does not necessarily reflect the official position of the European Commission.

 

This webinar is financially supported by:
This webinar has received financial support from the European Union Programme for Employment and Social Innovation “EaSI” (2014-2020). For further information please consult: http://ec.europa.eu/social/easi
The information contained in this webinar does not necessarily reflect the official position of the European Commission.