The AVP, Model Validation is responsible for validating credit risk models, and ensuring they comply with applicable MRM policies, standards, procedures and regulations (OCC2011-12/SR 11-7).  This role requires high level of expertise with minimal technical supervision, serving as a project lead and being accountable for validation results across various model categories, while making meaningful contributions to projects.   t

Applicants external to Synchrony who are currently employed on H-1B visa must have at least 2 years of eligibility remaining on their current visa term in order for Synchrony to petition for an employment based visa on behalf of such applicant. L1 visa would be considered for an internal candidate meeting all requirements for the L1 and all US Synchrony eligibility requirements. 

Applicants holding other types of visas, such as F-1 visas, must have at least 2 years of eligibility that would permit them to work for Synchrony. 

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 come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

• Accountable for all aspects of credit risk model risk management, driving the validation project timeline and execution with minimal guidance.  

• Serve as lead analyst and key contributor, independently validating credit acquisition, account management, fraud and marketing models developed using both machine learning algorithms and traditional logistic regression.  

• Providing supervisory support by guiding junior reviewers throughout the validation projects. 

• Handle issue escalations and dispute with model owner. See through the issues remediation, root cause analysis, and potential risk acceptance. 

• Keep pace with the latest model developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony Financial functions. 

• Support regulatory examinations and internal audits of the modeling process and selected models samples. 

• Perform other duties and/or special projects as assigned. 

Qualifications/Requirements:

• 1) Master's degree and  5+ years' experience in model development / model validation experience in financial services, banking, or retail; 2) in lieu of a Master’s degree, Bachelor's Degree and 9+ years’ experience in model development / model validation experience in financial services, banking, or retail OR 3) In lieu of a Bachelor's Degree, a High School Diploma / GED and 9+ years’ experience in model development / model validation experience in financial services, banking, or retail 
• 4+ years’ hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, and Data Lake. 
• 4+ years of statistical analysis and the handling large amounts of data and analyzing for trends. 
• 4+ years’ experience with the application of US regulatory requirements for Model Risk Management. 

• Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field
• Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements. 
• 5+ years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. 
• Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables. 
• Sharp focus on accuracy with extreme attention to detail. 
• Knowledge of Credit Card/Consumer Finance products and business model. 
• Experience with Machine Learning / AI methodologies and related applications.  
• Excellent written and oral communication and presentation skills.