Role & seniority: VP, Fraud/GEN AI Validation COE (Executive), full-time, on-site in Lake Mary, FL (remote acceptable per posting)

Stack/tools: Generative AI validation frameworks; Python; SPARK; Data Lake; AWS SageMaker; H2O; SAS; AutoML; CI/CD familiarity

Top 3 responsibilities

Lead end-to-end governance and validation for fraud models, ensuring adherence to MRM standards and regulations
Establish and run a Validation Center of Excellence; design quality assurance processes; drive efficiency and innovation in validation
Oversee model risk management for fraud models; manage timelines/projects; supervise junior reviewers; support regulatory examinations

Must-have skills

5+ years in acquisition/transaction fraud model development or validation in financial services; CI/CD experience preferred
Experience validating generative AI models and building validation/frameworks
Ability to automate validation to reduce cycle times using AutoML/AI tools
4+ years with data science tools (Python, SPARK, Data Lake, AWS SageMaker, H2O, SAS)
4+ years ML experience with large datasets; familiarity with US Model Risk Management regulations
Master’s in Statistics/Math/Data Science or 9+ years equivalent experience

Nice-to-haves

People and project management experience
Familiarity with credit card/consumer finance products
Strong written/oral communication and presentation skills

Location & work type: Lake Mary, FL; on-site with

Full Description

Job Description

VP, Model Validation and Validation COE

Company: Synchrony Financial

Location: Lake Mary, FL (On-site, Remote)

Job Type: Full-time

Posted: 11 hours ago

Job Description

Job ID: 2503884

Role Summary/Purpose: The VP, Fraud/GEN AI Validation COE is responsible for performing model validation for all the fraud models, and ensure they are meeting the related MRM policies, standards, procedures as well as regulations (SR 11-7). In addition, this role will establish and maintain a validation center of excellence to support the model governance team in designing the quality assurance process and leading the execution across all validations, act as an incubation center to test and run innovation, provide standardized training and staff development, and support the improvement of the model risk professional practice to improve the model stakeholder experience.

Essential Responsibilities

GEN AI Model Risk Management: Lead the creation and implementation of a comprehensive, end-to-end governance framework for Generative AI models.

Quality assurance and Capacity Planning: Establish and maintain a quality assurance process to thoroughly review and assess validation practices.

Strategy & Innovation: 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.

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

Model Validation: 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. Support regulatory examinations and internal audits of the modeling process and selected models samples.

Qualifications/Requirements

5+ years of experience in acquisition/transaction fraud model development or model validation in financial services, with experience in CI/CD frameworks 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 a related quantitative field; or 9+ years of equivalent experience. 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.

Desired Characteristics

Strong knowledge of Model Risk Management regulatory requirements. Experience in people and project management. Familiarity with credit card and consumer finance products and business models. Excellent written and oral communication and presentation skills.

Eligibility Requirements

You must be 18 years or older You must have a high school diploma or equivalent Legal authorization to work in the U.S. is required.

Compensation

Grade/Level: 12

Salary Range: 135,000.00 – 230,000.00 USD Annual, eligible for annual bonus. Salaries are adjusted according to market in CA, NY Metro and Seattle.

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.

Seniority level Executive Employment type Full-time Job function Other Industries Technology, Information and Internet