Daniel Marshall joins Hawk to drive global AI growth

Daniel Marshall joins Hawk to drive global AI growth

Hawk, a provider of AI-powered anti-money laundering (AML) and fraud prevention technology, has appointed Daniel Marshall as its new chief customer officer (CCO).

Marshall steps into the role bringing more than 25 years of experience building and scaling customer-focused organisations within enterprise software and AI platform businesses.

His background includes working with financial institutions and government agencies to put innovative technologies into practical use, generating measurable results and long-term value. Prior to joining Hawk, he held senior global leadership roles at Chainalysis, C3 AI and ServiceNow.

Hawk develops machine learning, generative AI and agentic AI solutions designed to support financial crime and compliance workflows at financial institutions worldwide.

The appointment comes as demand for AI-driven compliance tools continues to grow, with banks and payment firms increasingly moving beyond early experimentation towards full-scale deployment of AI across their operations.

Hawk CEO and co-founder Tobias Schweiger said, “Hawk’s continued growth mirrors the ever-increasing adoption of AI in financial crime and compliance. As banks and payment firms move from AI experimentation to full-scale deployment, Daniel’s experience in scaling teams focused on driving ongoing customer value will be very important. His appointment reinforces our commitment to being a true partner in our customers’ mission to fight financial crime.”

Hawk CCO Daniel Marshall said, “Hawk is delivering a genuinely differentiated, AI-native product in an industry that is undergoing a generational shift. Financial institutions are under increasing pressure to improve both the effectiveness and efficiency of their compliance programs. The shift toward agentic AI, particularly in the autonomous investigation of alerts, is accelerating. I look forward to helping our customers scale their use of Hawk’s technology to turn complex data into a strategic advantage in the fight against financial crime.”

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