AVP, Credit Model Development

About the role

Synchrony’s Credit Account Management (ACM) - Model Development role will provide excellent opportunities to support our ACM analytics and modeling capabilities. In this role, you will contribute to the development and execution of models for customer account management.

Role Summary/Purpose:

The successful candidate will be responsible for executing key aspects of the model development lifecycle, including internal model building, assisting in the review of vendor models, supporting validation processes, and assisting with regulatory documentation. We are looking for a candidate who is curious and passionate about technical problem-solving and has hands-on experience in big data environments, computer programming, Python, AWS, Machine Learning (ML), or AI/GenAI.

The successful candidate will have good communication skills, solid hands-on model development experience, and an understanding of model risk. The role will focus on core technical model development and analytics to support account management.

Responsibilities

• Perform hands-on data collection, data cleansing, model development to support ACM model projects.
• Partner with Model Risk Management on model validations, annual reviews, and ongoing assessments.
• Analyze model performance and explain model behavior to business stakeholders.
• Utilize advanced ML techniques to perform data mining for customer risk analysis and profiling.
• Prepare and maintain comprehensive model documentation required to meet regulatory and compliance standards.
• Lead automation initiatives using AWS, Python, Tableau, and related tools.
• Build expertise in Synchrony’s data warehouse and analytics ecosystem.
• Perform other duties and/or special projects as assigned

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, or a related quantitative field.
• Approximately 3+ years of hands-on experience as a model developer or model validator, specifically within financial services, credit risk, or fraud analytics.
• 2+ years of hands-on technical experience with data science/statistical tools and environments such as Python, Spark, AWS SageMaker, H2O, and SAS.
• Strong written and verbal communication skills with the ability to present analytical findings and complex modeling concepts to diverse audiences.
• Ability and flexibility to travel for business as required

Desired Qualifications

• Master’s Degree or MBA with advanced analytic focus, or equivalent advanced degree
• Experience using advanced modeling & data mining techniques (e.g. Machine learning, Big Data) to develop/ optimize Credit strategies
• Strong communication and presentation skills and the ability to interact with and present to senior leaders and clients
• Experience with commercial lending products and practices
• Demonstrated ability to identify automation opportunities and lead initiatives that improve efficiency, data quality controls, and analytical processes.

Benefits

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Pay

Salary range: 100,000.00 - 170,000.00 USD Annual

Schedule

Flexible work arrangements are available, allowing you to work from home near one of our Hubs or come into one of our offices.

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 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.
• New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months’ time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance expectations).