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Tech Stack
Tools & technologiesAWSPythonSparkTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data collectiondata cleansingmodel developmentmodel validationdata miningcustomer risk analysismodel documentationautomationstatistical analysisquantitative analysis
Soft Skills
communication skillspresentation skillsanalytical skillsflexibilitycollaboration
