AVP, Model Validation

Synchrony

AVP, Model Validation responsible for ensuring model compliance in financial services. Leading validation projects and collaborating closely with risk teams and business units.

Posted 5/7/2026full-timePhoenix • Arizona, California, Illinois • 🇺🇸 United StatesLead💰 $100,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

AWSPythonSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field
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

Benefits

Comp & perks

Flexible work arrangements
Annual bonus based on individual and company performance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

model validationmachine learninglogistic regressionstatistical analysisdata analysisdata sciencemodel developmentmodel risk managementtrend analysisprocess improvement

Soft Skills

collaborationindependent problem solvingcommunicationtechnical consultationflexibility