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About the Role
This role supports Synchrony's Credit Account Management (ACM) analytics and modeling capabilities, contributing to the development and execution of customer account management models. The successful candidate will be involved in internal model building, vendor model review, validation support, and regulatory documentation, focusing on technical model development and analytics.
Responsibilities
- Perform hands-on data collection, data cleansing, and model development for 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 for data mining in customer risk analysis and profiling.
- Prepare and maintain comprehensive model documentation 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.
- Must be 18 years or older.
- Must have a high school diploma or equivalent.
- Must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process.
- 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.
- Will not sponsor individuals for employment visas, now or in the future.
Skills
- Big data environments
- Computer programming
- Python
- AWS
- Machine Learning (ML)
- AI/GenAI
- Model risk
- Spark
- AWS SageMaker
- H2O
- SAS
- Tableau
Location
- Near one of our Hubs
Work Type
- Remote
- Hybrid
- Onsite
Experience Level
- 3+ years of hands-on experience as a model developer or model validator
- 2+ years of hands-on technical experience with data science/statistical tools and environments
Education Level
- Bachelor’s degree in Statistics, Mathematics, Data Science, or a related quantitative field
- Master’s Degree or MBA with advanced analytic focus, or equivalent advanced degree
Salary/Compensations
- 100,000.00 - 170,000.00 USD Annual
- Eligible for an annual bonus based on individual and company performance.
Benefits
- Flexibility in work location (work from home near a Hub or come into an office)
- In-person engagement activities such as regular business or team meetings, training and culture events required at nearest Hub (virtual or physical)
- Employee Resource Groups (ERGs)
About the Company
- Synchrony’s Credit Account Management (ACM) - Model Development role
- We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.
- When you join us, you’ll be part of an inclusive culture where your individual skills, experience, and voice are not only heard – but valued.
- Together, we’re building a future where we can all belong, connect, and turn ideals into action.
- More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
- We’re proud to have an award-winning culture for all.
Equal Opportunity
- 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.
- All qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.