Rutherford, NJ17 days ago
Required Education Bachelor's degree in finance, Economics, Computer Science, Engineering, or a related quantitative fieldPreferred Education Master's degree or MBA preferredRequired Qualifications/Skills/Experience 10+ years of experience in product management, business analysis, or a similar role within financial services, with a strong focus on retail risk 5+ years of direct experience with CCAR, DFAST, or similar regulatory stress testing frameworks and loss forecasting processes Proven track record of successfully delivering complex technology platforms or products in an agile environment Strong understanding of retail credit products (e.g., credit cards, mortgages) and associated risk drivers Understanding of risk modeling concepts (PD, LGD, EAD) and complete flows from data to models to regulatory consumption Knowledge of relevant technologies such as Python, UI/UX, SQL and platforms used in regulatory processes Deep expertise in retail credit risk, regulatory stress testing (CCAR), and agile product management methodologies Ability to bridge the gap between Retail and Wealth Risk business needs, risk management requirements, and technical development teams Experience working closely with agile development teams (scrum masters, developers, QA) throughout the entire product lifecycle Ability to define the product vision, strategy, roadmap, and features for next-generation risk analytics and forecasting capabilities Maintain an in-depth understanding of retail credit risk methodologies, CCAR, DFAST, CECL, and other relevant regulatory guidelines (e.g., SR 11-7) Ability to ensure platform design and functionality support robust data governance, model risk management, and auditability for regulatory submissions Strong stakeholder management and communication skills Ability to monitor platform performance, user feedback, and regulatory changes to identify areas for continuous improvement and innovation Champion a data-driven approach to product development, utilizing analytics to inform decisionsPreferred Qualifications/Skills/Experience Experience using AI assisted tools is a plus 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. The role includes leading platform development and enhancement efforts, acting as the primary liaison between risk management, finance, technology, and key stakeholders, and ensuring alignment with overall business objectives and regulatory requirements.