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Synchrony · 1 day ago

VP, Model Validation and Validation COE

Phoenix, AZ

Full-time

Hybrid

Mid, Senior Level

$135K/yr - $230K/yr

5+ years exp

Synchrony is a financial services company seeking a VP of Model Validation and Validation COE. This role is responsible for overseeing model validation for fraud models, establishing a validation center of excellence, and ensuring compliance with regulatory standards while driving improvements in model risk practices.

Consumer LendingFinanceFinancial ServicesInsuranceVenture Capital

Growth Opportunities

No H1B

Responsibilities

Lead the creation and implementation of a comprehensive, end-to-end governance framework for Generative AI models, establishing clear standards, procedures, documentation templates, and process to effectively manage model risks such as hallucination, accuracy, and bias

Establish and maintain a quality assurance process to thoroughly review and assess validation practices

Proactively challenge the status quo to identify gaps or improvement opportunities in validation efforts

Provide guidance on best practices, support capacity planning, and collaborate with the Model Governance team to recommend and implement enhancements that strengthen the overall validation framework

Serve as an incubation center to explore, test, and implement innovative approaches—leveraging Generative AI capabilities—to accelerate and improve the speed, efficiency, and quality of model validation processes

Support the Model Governance team to improve 1LOD model owner experience and bring value focused validation practice

Accountable for all fraud model risk management and drive the timeline and completion of the projects with minimal guidance

Supervisory role working with junior reviewers in validation projects

Handle escalation of issues and dispute with model owner level independently

See through the issues remediation, root cause analysis, and potential risk acceptance

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

Perform other duties and/or special projects as assigned

Qualification

Model ValidationGenerative AIFraud Model DevelopmentData Science ToolsMachine LearningModel Risk ManagementQuality AssuranceProject ManagementCommunication SkillsTeam Leadership

Required

5+ years of experience in acquisition/transaction fraud model development or model validation in financial services

Experience in generative AI model validation, framework development, or complex use case development

Proven experience automating validation processes and reducing cycle times using AutoML, generative AI, and related tools, including the ability to design and build necessary supporting infrastructure

Master's degree in Statistics, Mathematics, Data Science, or a related quantitative field; or 9+ years of equivalent experience in model development/validation within financial services, banking, or retail

4+ years hands-on experience with data science and statistical tools such as Python, SPARK, Data Lake, AWS SageMaker, H2O, and SAS

4+ years of machine learning experience, including handling large datasets and trend analysis

4+ years applying US regulatory requirements for Model Risk Management

Ability and flexibility to travel for business as required

You must be 18 years or older

You must have a high school diploma or equivalent

You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act

Legal authorization to work in the U.S. is required