Fraud Strategy Manager Jobs in Illinois (NOW HIRING)

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.

• 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

• 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

• 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