About the role
Experienced Model 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.
Experience: o 5-7+ years of experience in product management, business analysis, or a similar role within financial services, with a strong focus on retail risk. o 5+ years of direct experience with CCAR, DFAST, or similar regulatory stress testing frameworks and loss forecasting processes. o Proven track record of successfully delivering complex technology platforms or products in an agile environment.
Technical Skills: o Solid understanding of retail credit products (e.g., credit cards, mortgages) and associated risk drivers. o Familiarity with risk modeling concepts (PD, LGD, EAD) and methodologies. o Experience with data analytics tools, SQL, and understanding of large-scale data architecture concepts. o Knowledge of relevant technologies and platforms used in risk management and data warehousing.
• Soft Skills: o Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex concepts to both technical and non-technical audiences. o Strong analytical and problem-solving abilities, with a keen attention to detail. o Ability to influence stakeholders and drive consensus across diverse teams. o Proactive, self-starter with the ability to work independently and as part of a team in a fast-paced environment
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About the role
Experienced Model 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.
Experience: o 5-7+ years of experience in product management, business analysis, or a similar role within financial services, with a strong focus on retail risk. o 5+ years of direct experience with CCAR, DFAST, or similar regulatory stress testing frameworks and loss forecasting processes. o Proven track record of successfully delivering complex technology platforms or products in an agile environment.
Technical Skills: o Solid understanding of retail credit products (e.g., credit cards, mortgages) and associated risk drivers. o Familiarity with risk modeling concepts (PD, LGD, EAD) and methodologies. o Experience with data analytics tools, SQL, and understanding of large-scale data architecture concepts. o Knowledge of relevant technologies and platforms used in risk management and data warehousing.
• Soft Skills: o Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex concepts to both technical and non-technical audiences. o Strong analytical and problem-solving abilities, with a keen attention to detail. o Ability to influence stakeholders and drive consensus across diverse teams. o Proactive, self-starter with the ability to work independently and as part of a team in a fast-paced environment