Synchrony
Role Summary
The VP, Fraud/GEN AI Validation Center of Excellence (COE) is responsible for performing model validation for all fraud models, ensuring compliance with MRM policies, standards, procedures, and regulations (SR 11-7). The role establishes and maintains a validation COE that supports model governance, designs quality assurance processes, leads execution across validations, incubates innovation, provides training, and improves model risk professional practice to enhance stakeholder experience.
Essential Responsibilities
Lead the creation and implementation of a comprehensive governance framework for Generative AI models, establishing standards, procedures, templates, and processes to manage risks such as hallucination, accuracy, and bias. Establish and maintain a quality assurance process to review and assess validation practices, identify gaps, and recommend enhancements. Serve as an incubation center to explore, test, and implement innovative approaches—leveraging Generative AI—to improve validation speed, efficiency, and quality. Support the Model Governance team to improve model owner experience and bring value-focused validation practices.
Model Validation
Accountable for all fraud model risk management and driving project timelines with minimal guidance. Supervise junior reviewers on validation projects. Handle escalation of issues and disputes independently, oversee remediation, root cause analysis, and risk acceptance. Support regulatory examinations and internal audits of the modeling process and sample models. Perform other duties and special projects as assigned.
Qualifications / Requirements
5+ years in acquisition/transaction fraud model development or validation in financial services; CI/CD experience preferred. 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. Master’s degree in Statistics, Mathematics, Data Science, or related quantitative field; or 9+ years of equivalent experience. 4+ years hands‑on experience with Python, Spark, Data Lake, AWS SageMaker, H2O, and SAS. 4+ years of machine learning experience with large datasets and trend analysis. 4+ years applying US regulatory requirements for Model Risk Management. Ability and flexibility to travel for business as required.
Desired Characteristics
Strong knowledge of Model Risk Management regulatory requirements with a proven compliance track record. Experience in people and project management, developing actionable plans, executing effectively, and meeting deadlines. Familiarity with credit card and consumer finance products and business models. Excellent written and oral communication and presentation skills.
Salary
The salary range for this position is
135,000.00 - 230,000.00 USD
annually, with eligibility for an annual bonus based on individual and company performance.
Eligibility Requirements
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 provide fingerprints as part of the onboarding process. You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
Equal Opportunity Employer
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.
Reasonable Accommodation Notice
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please notify us if you require an accommodation to apply or perform the job. If you need special accommodations, please call our Career Support Line at 1-866-301-5627. Representatives are available 8 a.m. – 5 p.m. Monday to Friday, Central Standard Time.
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The VP, Fraud/GEN AI Validation Center of Excellence (COE) is responsible for performing model validation for all fraud models, ensuring compliance with MRM policies, standards, procedures, and regulations (SR 11-7). The role establishes and maintains a validation COE that supports model governance, designs quality assurance processes, leads execution across validations, incubates innovation, provides training, and improves model risk professional practice to enhance stakeholder experience.
Essential Responsibilities
Lead the creation and implementation of a comprehensive governance framework for Generative AI models, establishing standards, procedures, templates, and processes to manage risks such as hallucination, accuracy, and bias. Establish and maintain a quality assurance process to review and assess validation practices, identify gaps, and recommend enhancements. Serve as an incubation center to explore, test, and implement innovative approaches—leveraging Generative AI—to improve validation speed, efficiency, and quality. Support the Model Governance team to improve model owner experience and bring value-focused validation practices.
Model Validation
Accountable for all fraud model risk management and driving project timelines with minimal guidance. Supervise junior reviewers on validation projects. Handle escalation of issues and disputes independently, oversee remediation, root cause analysis, and risk acceptance. Support regulatory examinations and internal audits of the modeling process and sample models. Perform other duties and special projects as assigned.
Qualifications / Requirements
5+ years in acquisition/transaction fraud model development or validation in financial services; CI/CD experience preferred. 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. Master’s degree in Statistics, Mathematics, Data Science, or related quantitative field; or 9+ years of equivalent experience. 4+ years hands‑on experience with Python, Spark, Data Lake, AWS SageMaker, H2O, and SAS. 4+ years of machine learning experience with large datasets and trend analysis. 4+ years applying US regulatory requirements for Model Risk Management. Ability and flexibility to travel for business as required.
Desired Characteristics
Strong knowledge of Model Risk Management regulatory requirements with a proven compliance track record. Experience in people and project management, developing actionable plans, executing effectively, and meeting deadlines. Familiarity with credit card and consumer finance products and business models. Excellent written and oral communication and presentation skills.
Salary
The salary range for this position is
135,000.00 - 230,000.00 USD
annually, with eligibility for an annual bonus based on individual and company performance.
Eligibility Requirements
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 provide fingerprints as part of the onboarding process. You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
Equal Opportunity Employer
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.
Reasonable Accommodation Notice
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please notify us if you require an accommodation to apply or perform the job. If you need special accommodations, please call our Career Support Line at 1-866-301-5627. Representatives are available 8 a.m. – 5 p.m. Monday to Friday, Central Standard Time.
#J-18808-Ljbffr