Best Practices for Modeling Regulations

Financial institutions have had a difficult time adapting to the latest regulatory guidance regarding model validation and management. But making the right improvements can also translate into better analytic performance and risk management. To both comply and compete, it's critical to build an organizational policy for comprehensive model and credit...

Dynamic Detection for the Global Fraud Fight

Those of you who follow this blog know that I regularly discuss analytic innovations that boost fraud detection. One such innovation is adaptive analytics, so-called because these models continually "adapt" traditional neural network fraud models in response to real-time fraud tactics that were not present at the time of model...

Join Us For FICO World 2013

How are companies using Big Data analytics to understand and collaborate with today’s connected consumer? Join us at FICO World 2013 to discover answers from experts and network with your banking peers. Registration is now open for the conference, which will be held April 30-May 3 in Miami. FICO World...

Fraud Analytics That Adapt on the Fly

A major implication of Big Data, as I discussed in my last post, is that analytics must rely less on persistent (historical) data and instead adjust dynamically in the stream. This is particularly true for fraud analytics, given the ever-changing nature of fraud. Here's an example. Development of the traditional...

Wanted: reliable models to combat “rising systematic and systemic risks”

I recently attended an engaging conference jointly hosted by The Risk Management Institute and National University of Singapore that explored “risk management responses to rising systematic and systemic risks.” Among its distinguished speakers were various local and international banks, professors from NUS and National Taiwan University, the Federal Reserve, IMF...

Is Your Model Due for an Overhaul?

Over the past three weeks, I have been meeting with European banks to discuss model governance, along with IDC Financial Insights research director Michael Versace. The issue we’re exploring isn’t a new one — ever since banks began using predictive models back in the 1960s, analytics teams have been focused...

Big Data Changes the Analytics Paradigm

Big Data is a hot topic today that stems back to the early days of high-performance computing and parallel computing, which I worked on during my time in theoretical physics at Duke and Los Alamos. These days, Big Data tools facilitate the ease in applying these concepts. Interestingly, much of...

Managing Predictive Models (video)

Banks can increase the value they get from their predictive models by changing the way they manage those models. New OCC and Basel regulations make improving model management more important than ever. Hear more on this topic from Mike Gordon, FICO vice president and banking practice manager, in this Tech...

Fighting Enterprise Fraud

Increasingly banks are looking to leverage the full breadth of data related to customers to make better decisions, and fraud is no exception. There is a strong desire to break down silos, so fraud/risk behaviors in one area of the customer’s interaction with the bank can be utilized in other...

New Analytics for Emerging Payments

Payment cards are changing. Whereas a plastic card used to access a single funding account, now we increasingly see cards—and very soon, mobile phones—that can access multiple funding accounts. This trend not only increases personalization options, but also fraud detection capabilities, if you leverage a cardholder’s history of what funding...