Corelogic Information Solutions, Inc.

Opera Solutions Usa, LLC

Basepoint Analytics, LLC

Yuansong Liao

James Baker

Jacob Spoelstra

Amir Bar-Or

Rui Yan

Laks Srinivasan

A system and method for rapid development and deployment of reusable analytic code for use in computerized data modeling and analysis is provided. The system includes a centralized, continually updated environment to capture pre-processing steps used in analyzing big data, such that the complex transformations and calculations become continually fresh and accessible to those investigating business opportunities. The system incorporates deep domain expertise as well as ongoing expertise in data science, big data architecture, and data management processes. In particular, the system allows for rapid development and deployment of analytic code that can easily be re-used in various data analytics applications, and on multiple computer systems.

System and method for rapid development and deployment of reusable analytic code for use in computerized data modeling and analysis

A sequence of queries is divided into stages, where each stage involves one pass over the data, such that the sequence of queries can be executed using the minimum number of passes over the data. The sequence of queries may be processed into a functional dependency graph that represents the relationships between query parameters (signals) and query operations, and the functional dependency graph then may be processed to divide the queries into a number of successive stages such that each stage includes queries that can be executed based on data that exists prior to execution of that stage. A sequence of queries may, and often does, require that one or more intermediate values or datasets be generated using an aggregate function.

System and method for optimized query execution in computerized data modeling and analysis

Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in mortgage applications. For example, one embodiment includes a computerized method of detecting fraud that includes receiving mortgage data associated with an applicant and at least one entity related to processing of the mortgage data, determining a first score for the mortgage data based at least partly on a first model that is based on data from a plurality of historical mortgage transactions associated with the entity, and generating data indicative of fraud based at least partly on the first score. Other embodiments include systems and method of generating models for use in fraud detection systems.

System and method of detecting mortgage related fraud

Disclosed herein are methods and systems for detecting a risk of payment default. In various embodiments, the systems/methods receive mortgage data associated with a mortgage application of an applicant, generate one or more models based on data related to historical mortgage transactions and determine a payment default risk score based at least partly on the one or more generated models, the mortgage data associated with the mortgage application, and the credit data related to the applicant. In another embodiment, a system is disclosed for selecting mortgage applications for further fraud evaluation based on the determined risks of early payment default associated with the mortgage applications and performing the fraud evaluation on those selected mortgage applications.

Methods and systems of predicting mortgage payment risk

A method for detecting a risk of payment default comprises receiving mortgage data associated with a mortgage application, the mortgage application associated with an applicant, determining a first score for the mortgage data based at least partly on one or more models that are based on data from a plurality of historical mortgage transactions and based on historical credit information related to the applicant, and generating data indicative of a risk of payment default based at least partly on the first score.

Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in transaction data such as payment card transaction data. For example, one embodiment includes a computerized method of detecting that comprises receiving data associated with a financial transaction and at least one transacting entity, wherein the data associated with the transacting entity comprises at least a portion of each of a plurality of historical transactions of the transacting entity, applying the data to at least one first model, generating a score based on the first model, and generating data indicative of fraud based at least partly on the score. Other embodiments include systems and methods of generating models for use in fraud detection systems.

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Bellevue, WA, United States of America

Yuansong Liao