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Machine Learning with Alteryx Designer for Internal Credit Risk scoring

Initial situation

  • Our client, a major Tunisian Bank needed to improve its Internal Credit Risk Rating System

  • The system did not meet the requirements of the Tunisian Central Bank (TCB)


  • Create a model that calculates the probability of default of a Corporate client

  • Compute the final Credit Risk scores from this probability of default.

How: use Alteryx Designer

  • Data understanding

  • Data preparation

  • Modeling

  • Evaluation

  • Deployment

An excellent base for other needs

  • Create an end-to-end machine learning pipeline

  • Extract data and insights from semi-structured sources such as PDFs

  • Low code, no-code predictive analytics

  • Deploying models faster with automated processes

  • Accelerating time-to-value with rapid delivery of models

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