Paul Dulany

Vice President, Data Science, CA Technologies

Paul Dulany has been in the advanced analytics and data science areas for 18 years. He joined CA Technologies in 2013, and led the development of the analytical modeling infrastructure, as well as and the first model produced by the CA data science team, and has been leading the team since late 2015.

Prior to joining CA Technologies, he was at the SAS Institute for over eight years, where he was on the team that developed the first models for the SAS Enterprise Fraud Management solution, led the development of the first debit card models and developed many new techniques. Prior to SAS, Paul was at HNC and Fair Isaac for more than five years, as a scientist and later as the manager of the Fraud Predictor modeling team, developing a number of Falcon payment card models as well as working in other areas. Paul hold patents from his time at CA Technologies, HNC and SAS, and has a Ph.D. in theoretical physics.

CNP Fraud Prevention - Adapt to Fraud Patterns in Real Time

Presented by Paul Dulany , James Rendell • February 9, 2018

The adoption of e- and m-commerce has created new opportunities for fraudsters to falsify identities and defraud merchants, consumers, and banks out of millions. However, preventing fraudulent transactions with fewer instances of false positives is possible by leveraging shared transaction data from a consortium of...

The Network Effect - Leveraging the Power of Consortium Data

Presented by Paul Dulany , James Rendell • February 6, 2018

Today, consumers are using millions of devices to buy whatever, whenever, wherever. This rapid evolution of e- and m-commerce has created a target for fraudsters to falsify identities and defraud merchants, consumers, and banks out of millions. Taking advantage of the wealth of data maintained by banks is...