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Manager, Model Risk
SynchronyManager, Model Risk Management at Synchrony responsible for model validation and compliance with MRM policies. Engaging in quantitative analysis and model governance tasks to ensure model performance and soundness.
Tech Stack
Tools & technologiesAWSPythonSparkSQL
About the role
Key responsibilities & impact- Conduct full scope model review, annual review, ongoing monitoring model performance for both internally and vendor-developed models
- Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing
- Perform proper documentation within expected timeframes for findings review/investigation
- Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models
- Communicate technical information verbally and in writing to both technical and business teams effectively
- Write detailed validation documents/reports for management
Requirements
What you’ll need- Bachelor’s/master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science
- 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking
- Understanding of quantitative analysis methods or approaches in relation to credit loss models
- Strong programming skills with 2+ years’ hands-on and proven experience in Python, Spark, SAS, SQL, AWS, Data Lake
- 4+ years of relevant experience in lieu of a degree
Benefits
Comp & perks- best-in-class employee benefits and programs catering to work-life integration and overall well-being
- career advancement and upskilling opportunities
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
model reviewmodel performance testingdata quality evaluationquantitative analysiscredit loss modelsPythonSparkSASSQLAWS
Soft Skills
communicationdocumentationanalytical skillsteam collaborationtime management