SYSTEM AND METHOD OF DETECTING AND ASSESSING MULTIPLE TYPES OF RISKS RELATED TO MORTGAGE LENDING
First Claim
1. A system for detecting and assessing lending risks, the system comprising:
- a computer system comprising one or more computing devices, the computer system programmed, via executable code modules, to implement;
a combined risk detection model for detecting and assessing data indicative of a plurality of risks in loan application data, the combined risk detection model adapted to receive as input a plurality of input features extracted from two or more of a plurality of risk detection models, the plurality of risk detection models comprising;
a fraud model that detects the presence of data indicative of fraud in the loan application data;
an multi-component risk model that assesses risks associated with a loan referenced by the loan application data, the multi-component risk model based at least in part on external data not within the loan application data; and
a default risk model that detects the presence of data indicative of a risk of early payment default in the loan application data,wherein the input features are extracted from the two or more risk detection models by mathematically combining scores from the plurality of risk detection models for input into the combined risk detection model, the input features being selected as based at least in part on a comparison of the predictive performance of the risk detection models and a selection of a modeling method used to construct the combined risk detection model; and
a score reporting module that reports a composite risk score generated by the combined risk detection model.
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Accused Products
Abstract
Embodiments include systems and methods of detecting and assessing multiple types of risks related to mortgage lending. One embodiment includes a system and method of detecting and assessing risks including fraud risks, early payment default risks, and risks related to fraudulently stated income on loan applications. One embodiment includes a computerized method that includes creating a combined risk detection model based on a plurality of risk detection models and using the combined risk detection model to evaluate loan application data and generate a combined risk score that takes into account interaction of different types of risks individually and collectively detected by the plurality of risk detection models.
205 Citations
28 Claims
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1. A system for detecting and assessing lending risks, the system comprising:
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a computer system comprising one or more computing devices, the computer system programmed, via executable code modules, to implement; a combined risk detection model for detecting and assessing data indicative of a plurality of risks in loan application data, the combined risk detection model adapted to receive as input a plurality of input features extracted from two or more of a plurality of risk detection models, the plurality of risk detection models comprising; a fraud model that detects the presence of data indicative of fraud in the loan application data; an multi-component risk model that assesses risks associated with a loan referenced by the loan application data, the multi-component risk model based at least in part on external data not within the loan application data; and a default risk model that detects the presence of data indicative of a risk of early payment default in the loan application data, wherein the input features are extracted from the two or more risk detection models by mathematically combining scores from the plurality of risk detection models for input into the combined risk detection model, the input features being selected as based at least in part on a comparison of the predictive performance of the risk detection models and a selection of a modeling method used to construct the combined risk detection model; and a score reporting module that reports a composite risk score generated by the combined risk detection model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computerized method of detecting and assessing mortgage lending risks, the method comprising:
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receiving, on a computer processor, mortgage transaction data; applying, on a computer processor, a combined risk detection model to the mortgage transaction data to generate a composite risk score, wherein the combined risk detection model is configured to receive input features from a plurality of risk detection models and mortgage transaction data not output by the risk detection models, including from at least one fraud risk detection model, the input features being selected as based at least in part on a modeling method used to construct the combined risk detection model; and generating, on a computer processor, a report including the composite risk score generated by the combined risk detection model. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A method for creating a model for detecting loan risks, the method comprising:
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receiving loan transaction data linked with loan performance data related to risks including fraud and default risks; executing a plurality of risk detection models on the loan transaction data to obtain a respective model score from each of a plurality of risk detection models; determining the combinability of the scores from the plurality of risk detection models, the determining further comprising determining the predictive performance of the scores as compared to the linked loan performance data; extracting input features from the risk detection models that are determined to be combinable, the input features created from a mathematical combination of the scores and additional data; and constructing a combined risk detection model based on the extracted input features, the receiving, executing, determining, extracting, and constructing performed by a computer system that comprises one or more computing devices. - View Dependent Claims (25, 26, 27, 28)
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Specification