Senior Credit Risk Modeling Lead (CECL/CCAR)

Synchrony

Alpharetta (GA)

Hybrid

USD 85,000 - 140,000

Full time

4 days ago
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Job summary

Synchrony's Credit and Capital Management group seeks a data scientist specializing in credit risk modeling to execute, maintain, and develop models under SR 11-7/OCC 2011-12, CECL, CCAR and DFAST guidelines. The role emphasizes quarterly reserve development, loss forecast projections, and governance across data, analytics, and IT.

Strong Python/Spark/SQL/Linux skills are required, with collaboration across multiple teams.

Qualifications

  • Bachelor's degree with quantitative underpinning and 5+ years in Programming/Analytics.
  • 5+ years' experience with SQL, Python, Spark; Linux; data analysis and modeling.
  • Ability and flexibility to travel for business as required.

Responsibilities

  • Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL and related estimates.
  • Maintain model data input monitoring, production controls and output analytics with robust documentation.
  • Support quarterly review process and quarter closing activities; contribute to governance and controls.
  • Visualize insights, performance, and trends in inputs/outputs for communication and decisioning.
  • Collaborate across Credit & Capital Management, IT and model development for enhancements.
  • Assist with model validation, regulatory requests and governance adherence.
  • Develop new models or enhancements and manage their lifecycle in production.
  • Coordinate with cross-functional teams to align business needs with model outcomes.

Skills

Python
SQL
Spark
Linux
Pandas

Education

Bachelor's degree in a quantitative field

Tools

Hadoop

Job description

Synchrony's Credit and Capital Management group seeks a data scientist specializing in credit risk modeling to execute, maintain, and develop models under SR 11-7/OCC 2011-12, CECL, CCAR and DFAST guidelines. The role emphasizes quarterly reserve development, loss forecast projections, and governance across data, analytics, and IT.

Strong Python/Spark/SQL/Linux skills are required, with collaboration across multiple teams.

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