AVP, Model Validation

Synchrony • Orlando, FL

1d • Hybrid

About The Position

The AVP, Model Validation is responsible for model validation and ensure they are meeting Model Risk Management policies, standards, procedures as well as regulations (OCC2011-12/SR 11-7). This role requires high level of expertise with minimal technical supervision, requiring the ability to lead validation projects, take accountability for validation results across various model categories, and make meaningful contributions to projects.

Requirements

• Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial services, banking, or retail.
• 4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS.
• 4+ years of statistical analysis and the handling large amounts of data and analyzing for trends.
• 4+ years of experience with the application of US regulatory requirements for Model Risk Management.
• Ability and flexibility to travel for business as required

Nice To Haves

• 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, including generative AI model validation and validation framework development.
• Excellent written and oral communication and presentation skills.

Responsibilities

• Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine learning algorithms and traditional logistic regression techniques.
• Perform the full scope end-to-end validation independently for assigned internally and vendor developed new models and existing models.
• Lead/Perform the review and maintenance of relevant model and validation documentation, perform in depth analysis on large data sets and reports to support discussions on key analytics and model risks.
• Work closely within the Risk organization to validate accuracy and performance of all models, whether statistical/AI/ML or non-statistical to identify any issues requiring further investigation, and resolve problems independently.
• Collaborate with the Synchrony Financial business teams to uncover and highlight risk associated with models.
• 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.
• Provide technical consultation and process improvement to model risk management on recommended solution based on solid research in the academic and industry practice.
• Perform other duties and/or special projects as assigned.

Benefits

• annual bonus based on individual and company performance
• option to work from home near one of our Hubs or come into one of our offices
• Legal authorization to work in the U.S. is required.
• 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.
• inclusive culture where your individual skills, experience, and voice are not only heard – but valued.
• Employee Resource Groups (ERGs)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager