Credit Risk Modeling Lead - CECL & Reserves

Synchrony; New York (NY); Hybrid; USD 85,000 - 140,000; Full time

Job summary

Synchrony is seeking a data scientist/credit risk modeling professional to lead and develop models under SR 11-7/OCC guidance, CECL, CCAR and DFAST. The role focuses on quarterly reserve development, loss forecasting, and governance across the Reserves & Loss forecasting team.

The ideal candidate has extensive data analytics, statistical modeling, and programming experience (Python/Pandas, Spark, Hadoop, SQL, Linux) and will collaborate with IT and various finance and risk groups to deliver

Qualifications

• Bachelor's degree with quantitative underpinning; 5+ years of experience in Programming/Analytics, risk, credit, or related field.
• 5+ years' experience with SQL, Python, Spark; proven ability to analyze data and run statistical analyses.
• Willingness to travel for business as required

Responsibilities

• Plan and execute models in the quarterly reserve development process with CECL focus.
• Maintain model data input monitoring, production controls and output analytics.
• Support quarterly review process and contribute to governance and controls.
• Visualize insights, trends, and performance for communication to model owners.
• Collaborate across Forecasting, Reserve and Stress Testing teams and IT for model enhancements.
• Assist with responses to model validation/regulatory requests; support development of new models.

Skills

Data analysis

Credit risk modeling

Python

Spark

SQL

Linux

Education

Bachelor's degree in quantitative field

Tools

Python/Pandas

Spark

Hadoop

SQL

Linux

Job description

Synchrony is seeking a data scientist/credit risk modeling professional to lead and develop models under SR 11-7/OCC guidance, CECL, CCAR and DFAST. The role focuses on quarterly reserve development, loss forecasting, and governance across the Reserves & Loss forecasting team.

The ideal candidate has extensive data analytics, statistical modeling, and programming experience (Python/Pandas, Spark, Hadoop, SQL, Linux) and will collaborate with IT and various finance and risk groups to deliver