Credit Risk Modelling

What We Do

Business Rules are no longer sufficient when it comes to today’s sophisticated consumers and small businesses. MaxDecisions implements statistical algorithms, underwriting waterfalls and machine learning techniques through its decision engine to provide real time decisions for our clients.

Credit Risk Modelling for a range of financialSectors

How we do it

We’ve developed statistical modeling software to quickly identify key attributes from vast arrays of variables to make sophisticated statistical models even sharper sharper. Delivered through our decision engine, we reduce the implementation time by exposing API for our clients to utilize in real time.

Why It Is Better

The combination of statistical modeling techniques and our powerful technology sets us apart from the rest. Not only can we deliver state of the art models and modeling techniques, we can deliver these models through our decision engine APIs that can react in real time. Our domain knowledge led us to create this powerful combination of solution to help you grow.

In theNews

10 Ways To Boost Your Direct Mail Campaign

Jun 22, 2016

MaxDecisions

I wrote this blog back in 2015 to help our clients with some tools they can use right away to boost their direct mail campaign. As I evolve as an marketing analytics professional, I constantly revisit this direct mail marketing blog and adding more insights to the top 10 list!

For Immediate Release: MaxDecisions, Inc. Expands Into New Headquarters – Mckinney, TX

May 22, 2017

MaxDecisions

MaxDecicisons™, is a leader in analytics and predictive modeling, today announced the expansion into a brand new headquarters in McKinney, TX. As we continually grow our business and industry coverage, we needed space and additional data and physical security to support our expansion.

How We Hacked “FICO” Score in 30 Minutes

Aug 1, 2016

MaxDecisions

FICO score is probably the widely know credit risk score that everyone in the industry uses. Whether it is used to grant credit, approval for a rental agreement, there is no avoiding the infamous credit score.

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