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Home/News/Credit risk is more than predicting default: building the full stack in Python (IFRS 9 ECL, scorecards, monitoring)

Credit risk is more than predicting default: building the full stack in Python (IFRS 9 ECL, scorecards, monitoring)

Most credit-risk tutorials stop at "train a classifier to predict default." That is maybe a fifth of what a real credit-risk function does, and not the interesting fifth. So I built the rest, on 1.35 million real loans, as three connected projects: an IFRS 9 expected credit loss engine (PD, LGD, EAD

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Tags:#cloud-computing#credit-risk#python#data-science

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