Data Science In Finance Credit Risk Analysis. Risiko ini berupa tidak bisa dibayarkannya pokok dan bunga pinjaman sehingga mengakibatkan kerugian berikut. Loan variables such as loan amount term interest rate delinquency.
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Data analytics is one of the disruptive ways through which banks can effectively monitor credit risks and minimize exposure to risk. Elena sharova is a data scientist financial risk analyst and software developer. Throughout a series of posts we will cover the following dimensions.
Within the credit risk domain data science can be used to build more robust predictive models to assess loans and borrowers.
Data science in finance. Throughout a series of posts we will cover the following dimensions. Apart from the standard datasets such as loan history banking transaction data demographics income etc new data from sources such as social media and marketing data can be included in building models to get deeper visibility into customer behaviours. Credit risk is associated with the possibility of a client failing to meet contractual obligations such as mortgages credit card debts and other types of loans.
