Senior Credit Risk Data Scientist, CECL/CCAR

Synchrony; Canton (OH); Hybrid; USD 85,000 - 140,000; Full time

Job summary

Synchrony is seeking a data scientist/credit risk modeling professional to execute, maintain and develop models under CECL and related regulatory guidance. The role focuses on quarterly reserve development, loss forecast projections and governance, while collaborating with IT and model development teams to ensure sound estimates and processes.

The lead analyst will communicate with peers and leaders, document assumptions, and support model validation and risk management programs.

Qualifications

• Bachelor's degree with quantitative underpinning and 5+ years in programming/analytics for risk or credit.
• 5+ years' experience with SQL, Python, Spark; experience with Linux.

Responsibilities

• Plan and execute models in production Reserves and Loss Forecasting process with a CECL focus.
• Maintain model data input monitoring, production controls and output analytics including results analysis.
• Support quarterly review process and quarter closing activities, and contribute as peer reviewer.
• Visualize insights, performance, and trends in inputs/outputs for clear communication.
• Drive understanding of drivers and provide narrative support for assumptions and projections.
• Assist with responses to model validation, regulatory or oversight requests and governance.
• Support development of new models or enhancements to existing models.
• Manage models lifecycle from development to production and plan future releases.
• Collaborate across Forecasting, Reserve and Stress Testing, Model Development, Data Governance, Finance, Controllership.
• Perform other duties and/or special projects as assigned.

Skills

Python

SQL

Spark

Pandas

Linux

Hadoop

Education

Bachelor's degree with quantitative underpinning

Tools

Hadoop

Job description

Synchrony is seeking a data scientist/credit risk modeling professional to execute, maintain and develop models under CECL and related regulatory guidance. The role focuses on quarterly reserve development, loss forecast projections and governance, while collaborating with IT and model development teams to ensure sound estimates and processes.

The lead analyst will communicate with peers and leaders, document assumptions, and support model validation and risk management programs.