Core Cash Fraud Prevention Product Manager - Payments - Vice President

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Core Cash Fraud Prevention, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. Job responsibilities Leads the design, development, and implementation of a new Global Fraud Consortium data platform and its business rules to improve detection rules, models, and algorithms for core cash payment channels including Wires, ACH, RTP, and emerging payment methods Develops a product strategy and product vision that delivers value to customers, aligned with business objectives and risk appetite for fraud prevention solutions Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap, including threat analysis, competitive benchmarking, and emerging fraud pattern identification Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition using Agile methodologies Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, reliability, fraud detection effectiveness, and false positive rates Analyzes fraud trends, attack vectors, and typologies to continuously enhance detection capabilities while balancing fraud prevention effectiveness with customer experience Collaborates with data science teams to develop and deploy machine learning models that benefit from this new platform Designs fraud detection and prevention mechanisms that comply with regional regulatory requirements Collaborates with compliance, legal, and risk teams globally to ensure product features meet all applicable regulatory standards, fraud reporting obligations, and maintain proper documentation and audit trails for regulatory examinations Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Minimum 3 years of Financial Technology experience with deep understanding of Banking Payment Domain including Wires, ACH, Real Time Payments, and ISO 20022 standards Extensive experience working with fraud detection systems and deep understanding of fraud patterns, typologies, and attack vectors in payment ecosystems, including experience with fraud case management and investigation workflows Proven experience designing and implementing payment and fraud prevention solutions Strong proficiency in Agile development methodologies and tools (JIRA) with ability to write clear, comprehensive user stories following INVEST principles with well-defined acceptance criteria Strong understanding of regional payment regulations and fraud prevention requirements across multiple jurisdictions (US, EMEA, APAC), and fraud reporting obligations Experience with API design, contract definition, and specifications (Swagger) and knowledge of web service protocols and technologies (SOAP, XML, JSON) SQL and database scripting capabilities with ability to analyze large datasets Bachelor's or Master's degree required; Engineering, Computer Science, Mathematics, or related quantitative field Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization 6-12 years of experience in software development or technology companies Expertise in fraud detection methodologies, machine learning models, and rule-based engines Experience with fraud detection rule engines and scoring models Track record of delivering products with "first time right, on-time delivery" approach Experience gathering and synthesizing requirements from diverse stakeholders including fraud investigators, compliance officers, and regional business partners through structured interviews and feedback sessions