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Develop credit full life-cycle scoring model by making full use of core technologies such as machine learning, provide quantitative basis of digital intelligent decision-making.

Relying on data analysis and mining technology, SCAI take advantage of core technology of machine learning to develop various credit full life-cycle scoring models for financial institutions, including credit scoring models of allocation, behaviors and collection, scoring models of application anti-fraud and transaction anti-fraud, and marketing scoring models of customer response model, Customer churn propensity model, customer revenue model etc. To achieve digitalization and intellectualization customer management through quantitative methods, and to provide quantitative basis for financial institutions’ business decision-making.

Risk Intelligent Management and Compliance