BioCatch is the leader in Behavioral Intelligence, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust and ease seamlessly co-exist. Today, BioCatch counts over 25 of the top 100 global banks as customers who use BioCatch solutions to fight fraud, drive digital transformation, and accelerate business growth. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.comAbout the RoleBioCatch is seeking a senior-level, customer-facing Solutions Engineer & Threat Analytics Consultant to support our growing presence in Japan. This hybrid role combines technical engineering leadership, fraud domain expertise, and strategic pre-sales consulting to support BioCatch’s mission to protect the world’s leading financial institutions from fraud and financial crime.You’ll lead technical discovery and solution design during the sales process, manage implementations of BioCatch’s behavioral biometrics solutions, and provide ongoing optimization and fraud advisory to our customers.Key ResponsibilitiesLead pre-sales activities: discovery, demos, PoCs, RFIs/RFPs, and solution scoping with sales teams and prospects.Design and deliver tailored solutions that meet customer needs across web and mobile channels.Manage end-to-end implementation and integration of BioCatch SDKs and APIs.Build trusted relationships with customers—from fraud teams to C-level—guiding them through best practices and solution adoption.Analyze fraud detection performance and behavioral patterns using SQL/Python, and recommend improvements.Act as a fraud SME, advising on threats like ATO, remote access scams, and mule detection.Collaborate with internal teams (Product, Data Science, Engineering) to enhance customer outcomes and inform roadmap.