SVP, Customer Facing Model Development

Job Description:

Role Summary/Purpose:

The SVP, Customer Facing Model Development ,will lead the development, deployment, and governance of credit and fraud scoring/decisioning models and managing strategic frameworks across customer-facing model types.  This leader will own the end-to-end integration of credit and fraud customer-facing models with operational strategies, business expansion and product generation. The leader will also ensure compliance with model risk governance, model performance monitoring and monitoring against financial and risk objectives.  

The role will bring expertise in mapping business requirements to model design, application of regression, artificial intelligence and machine learning methodologies (broadly, AI/ML), utilization of Monte Carlo, bootstrapping, Bayesian techniques, strategic decision making, and regulatory engagement to influence enterprise practices, lead cross-functional initiatives, and drive data-driven outcomes. Additionally this role will require someone who can drive innovation in cloud-based modeling infrastructures, model lifecycle automation, and the application of AI and technology to enhance and accelerate model development.  

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or to come into one of our offices. Occasionally you may be required to commute to a hub or an office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities 

• Lead development of credit and fraud decisioning models for acquisition, account management, and adoption in partner strategies, leveraging deep knowledge of credit use cases to prioritize modeling efforts and manage the model inventory in alignment with business objectives. 

• Understand and map credit journeys for a variety of retail credit products, understand model approaches to adapt to each journey, and apply creative solutions to challenges. 

• Oversee all phases of model development, from business requirements, data evaluation, model design, methodology selection to model development, model documentation, model validation, implementation and monitoring. 

• Guide teams in exploring and deploying innovative AI/ML modeling techniques, while ensuring transparency and explainability. 

• Identify and help design opportunities for optimizing the model lifecycle, including the use of AI/GenAI solutions, code standardization, CI/CD frameworks, cloud-based automation, automation of governance controls, etc. 

• Oversee the quality of comprehensive model documentation and ensure adherence to model governance standards. 

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