Business & Risk Analytics

CoreLogic provides data driven decision support for mortgage businesses. Our industry experience and decision support expertise, combined with business, analytical and technological competencies, equip us to address the complete analytic needs of any mortgage life cycle business - from the grittiest data cleansing tasks to shaping innovative business strategies. We provide cutting-edge risk management, financial analysis, regulatory compliance, and performance-predicting capabilities to industry giants.

In India, CoreLogic develops US mortgage industry focused products and models for our clients. The analytics models we have expertise in includes

  • Credit Risk Models
  • Delinquency scoring models
  • Customer default models
  • Pre payment risk model
  • Fraud models for mortgage insurance
  • House Price Index models development
  • Forecasting House price Index
  • Customer retention and cross-sell models
  • Analytical Business Intelligence services
  • Consulting Services
Products/Model development services

The analytics practice has expertise in supporting various businesses through statistical and other techniques like

  • Time Series forecasting models
  • Scoring the client data using the proprietary models
  • Predicting the cash flows for a given portfolio client
  • Predicting different delinquencies for a given portfolio
  • Predicting the Loss given defaults for different cash resources
  • Model Back-testing
Human Capital

The highly qualified team of professionals has a mix of advanced degrees(Masters/M. Phil/Ph.Ds) in Quantitative Science from top Indian and US institutes.

Professionals in our Analytics Division are experienced in Mathematical Modeling of engineering systems to Econometrics to Agricultural Statistics. The team has diverse experience in Analytics, Finance, Business Strategy and Technology covering multiple domains like Retail, Consumer Finance(Credit Card /Mortgage), Telecom and Insurance.

The team uses cutting edge modeling techniques and tools, leveraging data and technology infrastructure to create value added information and analytics products for the mortgage industry. The team's strength in predictive modeling and the use of sophisticated tools like SAS, KXEN, SPSS, MATLAB, R and ANGOSS enable investors, servicers; originators achieve improved targeting of markets, effective portfolio management and optimize portfolio risks.