Knowing whether to commit to the time and expense of a full model rebuild is a challenge for many lenders.  Our FastTrack Modeling process offers an easy solution through the creation of investigative scoring models.

Creating Investigative Scoring Models

FastTrack Modeling helps you determine the expected lift of a new credit model at a fraction of the time and cost it would take to build and test it. FastTrack Modeling uses archived credit data and DMS attributes to create an investigative scoring model that can show you whether your existing credit models can be improved. After an initial analysis on the lift expected from a new model, you can see the value of the model before committing to the full cost of building it. If the lift isn’t sufficient, you can direct your time and money elsewhere.

How Does It Work?

Using historical credit data, DMS attributes, and performance data, FastTrack Modeling uses a proprietary automated modeling tool to create a “quick and dirty” challenger model to your existing scoring model. The two models are compared using measures such as C values, KS, and gains tables to estimate the lift of a full modeling effort.  C value and KS are two commonly used statistics that summarize how effective a model is at rank ordering a population of applicants from low to high risk.

If the lift is sufficient, DMS can complete the full modeling process for you that includes:

• An extensive data cleaning
• A robust compliance review
• All attributes used for the model
• A detailed validation
• Implementation of the new model

DMS leverages the work done in the FastTrack Modeling process to help reduce your overall project cost, making this a cost-effective approach.