Featurespace™, the leading machine learning Adaptive Behavioral Analytics fraud and risk management company, announced Laura Gibson as its U.S. Director of Operations to support its growth initiatives and development of client support teams in North America.
With more than 13 years of experience in the financial services industry, Gibson previously served as IT Program Director at Charlotte, N.C.-based Ally Bank, Project Manager at Wells Fargo and Technology Project Analyst at Bank of America. Her experience includes strategic program development and the implementation of multi-channel IT solutions, with a focus on profitability and revenue growth.
Featurespace became the first machine learning company in Atlanta after expanding from the U.K. in late 2017. Since that time, it has more than tripled its U.S. team of financial services and technology experts, data scientists and engineers.
“Our successful expansion is attributed to attracting the most qualified individuals who embrace our mission to deliver unsurpassed levels of fraud and risk detection to our clients around the globe,” said Martina King, CEO of Featurespace. ” We’re delighted to welcome Laura to the Featurespace team. Her rich experience in banking technology operations adds to an already-impressive array of competencies and facilitates the continuity of our international growth.”
This year, Featurespace announced the completion of a $32.3 million funding round and an expansion into Singapore. Its ARIC™ Fraud Hub is deployed in financial institutions globally, where it risk scores more than 50 billion transaction and account interactions for its clients, which include TSYS, Worldpay and 17 banks in the U.S., U.K. and Latin America.
For more information about joining the Featurespace team, visit https://www.featurespace.com/careers-2/.
Headquartered in the U.S. and U.K. and with offices in Atlanta, Cambridge and London, Featurespace™ is the world-leader in fraud prevention and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores events in more than 180 countries.
The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen. The increased accuracy of understanding behavior strikes the balance between improving fraud and risk detection and operational efficiencies, while also reducing the number of genuine transactions that would be incorrectly declined by as much as 70 percent.