Senior Credit Risk Modeling Analyst - CECL & Reserves

Synchrony; Draper (UT); Hybrid; USD 85,000 - 140,000; Full time

Job summary

Synchrony's Credit and Capital Management group is seeking a data scientist / credit risk modeling professional with CECL/CCAR regulatory experience. The role focuses on quarterly reserve development and loss forecasts, requiring strong data analysis and modeling skills using Python, Pandas, Spark, Hadoop, SQL and Linux.

The lead analyst will collaborate across Forecasting, Reserve/Stress Testing, Data Governance and Finance to ensure robust governance, scalable model delivery, and timely

Qualifications

• Bachelor's degree with quantitative underpinning and 5+ years of programming/analytics experience in risk or finance, or 9+ years without a degree.
• 5+ years’ experience in SQL, Python, Spark, Linux; ability to perform statistical analysis and manage large data sets.
• Willingness to travel for business as required.

Responsibilities

• Plan and execute models in production Reserves and Loss Forecasting with CECL focus.
• Maintain model data input monitoring, production controls and output analytics.
• Support quarterly review process and close activities; provide peer review for controls.
• Visualize insights and trends; communicate findings to model owners and sponsors.
• Collaborate across Forecasting, Reserve/Stress Testing, Data Governance and Finance teams.
• Manage model lifecycle from development to production; document assumptions and methods.

Skills

Statistical analysis

Model development

Communication skills

Regression / forecasting

Education

Bachelor's degree with quantitative underpinning

Tools

SQL

Python

Spark

Hadoop

Linux

Pandas

Job description

Synchrony's Credit and Capital Management group is seeking a data scientist / credit risk modeling professional with CECL/CCAR regulatory experience. The role focuses on quarterly reserve development and loss forecasts, requiring strong data analysis and modeling skills using Python, Pandas, Spark, Hadoop, SQL and Linux.

The lead analyst will collaborate across Forecasting, Reserve/Stress Testing, Data Governance and Finance to ensure robust governance, scalable model delivery, and timely