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While financial companies use Data Science in their fraud detection models, they do not use it in their credit decisioning models which, instead, use classification and regression to assess the risk of lending to individuals.
In particular with logistic regression using application, behavioural and bureau data, has become an industry standard accepted as an accurate credit risk assessment tool. Recently, however, financial companies have begun considering how Big Data and advanced Data Science techniques (such as neural networks and GBM) could improve their credit decisioning models. The obstacles that must be overcome before Data Science can be used in this way are both significant and varied (including technological, cultural and legal obstacles).
In this talk Roberta will explain how Data Science can work with financial companies to overcome these obstacles and transform their credit decisioning models.
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In January 2018 Roberta accepted to lead as a Senior Manager the new Credit Risk Data Science team at NewDay, the largest credit card issuer in the UK.