Signifyd Hires IBM Veteran Chendong Zou as VP of Engineering To Amplify Its Machine Learning Capabilities

Signifyd Hires IBM Veteran Chendong Zou as VP of Engineering To Amplify Its Machine Learning Capabilities

Signifyd, an enterprise SaaS for fraud detection provider, announced the hiring of Chendong Zou as the Vice President of Engineering. Zou, an AI expert, will work closely with Signifyd’s engineers to boost machine learning and big data science innovations and add cutting-edge capabilities to their solutions. The latest addition to Signifyd’s top management comes merely months after the startup fetched $19 million Series B funding. The funding was led by American Express Ventures, Menlo Ventures and Triple Point Capital in September 2016.

Chendong Zou, formerly the VP of Engineering at Rocket Fuel, has worked with Artificial Intelligence technology innovators for over twenty years. Before Rocket Fuel, Zou served as a Senior Technical Engineer for CrossWorlds Software, Inc., an enterprise process integration company. CrossWorlds was later acquired by IBM for $129 million.  Zou continued to work on architecture for WebSphere BPM before joining Rocket Fuel, Inc.

“I’m ecstatic to make the transition from ad tech to the fraud prevention space and believe my experiences at Rocket Fuel and IBM will provide a fresh perspective on how disparate data from dynamic sources can be scaled in real-time to meet the needs of a rapidly growing customer base,” said Zou.

“I look forward to scaling Signifyd’s engineering team and its infrastructure, as well as keeping Signifyd’s real-time machine learning ahead of fraudsters and any existing solution in the market.”

Use of machine learning in fraud detection technologies is a rampant trend in the e-commerce sector. Use of mobile app payments for B2B e-commerce continues to grow, forcing companies to invest in building innovative automated learning methods to protect the customers. Traditional methods like linear models and decision trees have made way for artificial intelligence and machine learning, running on real-time engines, text mining, and link analysis.

Zou’s role at Signifyd would largely revolve around preventing fraud losses proactively for e-commerce merchants. His experience in machine learning and strategic integrations with existing marketing technology will enable e-commerce merchants to scale on Signifyd platform and meet growing customer demands.

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