Technical Product Manager

Experienced Retail Risk Product Owner to lead the development and enhancement of a new Loss Forecast Platform for use in CCAR and internal loss forecast processes. This critical role will have significant SME knowledge and bridge the gap between business needs, risk management requirements, and technical development teams, ensuring the delivery of a robust, scalable, and compliant platform. The ideal candidate will possess deep expertise in retail credit risk, regulatory stress testing (CCAR), and agile product management methodologies. They will be responsible for defining the product vision, strategy, roadmap, and features for our next-generation risk analytics and forecasting capabilities. Define and articulate the product vision, strategy, and roadmap for the Loss Forecast Platform, aligning with overall business objectives and regulatory requirements. Conduct market research, competitive analysis, and gather stakeholder feedback to identify new opportunities and inform product decisions. Translate high-level strategic objectives into detailed product requirements and user stories to bring in efficiency to the organization. Act as the primary liaison between risk management, finance, technology, and other key stakeholders to capture, analyze, and prioritize business requirements for CCAR, retail loss forecasting models, and other platform functionalities. Develop and maintain a well-groomed product backlog, ensuring stories are clearly defined, estimated, and prioritized based on business value, regulatory urgency, and technical feasibility. Work closely with agile development teams (scrum masters, developers, QA) throughout the entire product lifecycle, from conceptualization to deployment and post-launch optimization. Provide clear guidance and answer questions from development teams during sprint cycles to ensure accurate understanding and implementation of features. Oversee user acceptance testing (UAT) to ensure delivered solutions meet specified requirements and quality standards. Collaborate with model development and validation teams to integrate advanced loss forecasting models into the platform effectively.Monitor platform performance, user feedback, and regulatory changes to identify areas for continuous improvement and innovation.