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Wednesday, March 13 • 1:00pm - 1:50pm
Using Graph Analysis for Fraud Detection in Fintech at Paysafe

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Paysafe provides simple and secure payment solutions to businesses of all sizes around the world. We process billions of payment dollars a year. This, combined with the focus of flawless customer experience and real-time money transfer makes us a candidate for the “dark side” of the payments – fraudsters, money launderers, etc. Every year, the financial industry loses billions because of fraud. To provide the best customer experience, we keep the time window to identify fraud patterns or networks extremely narrowly. Fraudsters bury their patterns in large volumes of data. With traditional data storage techniques such as relational technologies, it is almost impossible to see beyond individual accounts to the connections between them. This presentation will show how Paysafe has implemented Oracle property graph technologies in Oracle Spatial and Graph and Oracle Database, including its fast, built-in, in-memory graph analytics to perform fast graph queries that identify patterns of fraud.

avatar for Stanka Dalekova

Stanka Dalekova

Senior Software Developer, Paysafe
Stanka Dalekova has been working in Paysafe as a software developer in the last 15 years. She is happy to be a part of an organization from the start and see it grows. During this long journey, she has gained experience in different technologies and business aspects.
avatar for Yavor Ivanov

Yavor Ivanov

Head of Database Administration, Paysafe
Currently focused at the beauty of a team working together. The art of Engaging, Enabling and Empowering team members to deliver their best under the many possible situations we face in our daily life. Delivering outstanding result in complex environment; overcoming challenges and... Read More →

Wednesday March 13, 2019 1:00pm - 1:50pm PDT
2-Rm 103