AVP, Model Validation at Synchrony Costa Mesa, CA

Role Summary/Purpose The AVP, Model Validation is responsible for model validation focusing on loss/reserve/recovery forecast, AML, collection and other models and ensuring they meet Model Risk Management policies, standards, procedures, and regulations such as SR 11-7. The role requires sufficient expertise to serve as a project lead and be accountable for validation results across a wide range of model categories under adequate technical supervision. Essential Responsibilities Perform full scope end‑to‑end model reviews, annual reviews, and ongoing monitoring of model performance for both internally and vendor‑developed models (statistical/ML and non‑statistical). Lead and supervise full scope validation and other reviews, holding full accountability for validation quality and driving project timelines with minimal guidance. Provide coaching and mentorship to junior team members, facilitating continuous improvement and a supportive team environment. Conduct in‑depth analyses on model methodologies, assumptions, and performance trends using large datasets, identifying key model risks, limitations, and issues for in‑house and third‑party models. Maintain current knowledge of model development and validation practices in academic, regulatory, and financial services environments, offering technical consultation and process improvement to MRM. Support regulatory examinations and internal audits of the model validation process by preparing documentation, addressing inquiries, and assisting remediation. Collaborate with Synchrony functional teams to uncover, highlight, and identify model risk associated with models, maintaining relevant documentation and generating analytical reports. Perform other duties and special projects as assigned, and support model governance initiatives. Qualifications/Requirements Master’s degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years of experience in model development/validation in financial services, banking, or retail. Strong understanding and application of quantitative analysis methods for credit loss/reserve/recovery models, CECL, etc. Proficient programming skills with 4+ years of experience utilizing Python, Spark, SAS, SQL, AWS, Data Lake for statistical analysis and large data management. 4+ years of experience applying US regulatory requirements for Model Risk Management. Desired Characteristics Advanced knowledge of regulatory requirements for Model Risk Management (SR 11‑7, OCC 2011‑12, etc.) and CCAR. 5+ years of proven experience in Model Risk Management or model development in financial services, including analytic, governance, or credit disciplines. Solid knowledge of credit loss models such as loss forecasting (PD/LGD/EAD, CECL, roll rate, etc.), stress testing, allowance, AML, and collection models. Project management experience with demonstrated ability to develop actionable plans, execute, and meet timeline‑sensitive deliverables. Strong focus on accuracy and extreme attention to detail. Excellent written and oral communication and presentation skills. Salary $95,000 – $160,000 USD annually, eligible for an annual bonus based on individual and company performance. Salaries are adjusted according to market in CA, NY Metro, and Seattle. Grade/Level 10 Job Family Group Credit Equality, Diversity, and Inclusion All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. #J-18808-Ljbffr Itlearn360