Remote Senior Credit Risk Modeler (CECL/CCAR)

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

Benefits offered by this job

Remote work options

Office hubs nearby

Job summary

Synchrony is seeking a data scientist/credit risk modeling professional to lead quarterly reserve development and CECL-focused analyses. You will execute, maintain and enhance complex models under regulatory guidance, leveraging Python, Spark, SQL and Linux within the Credit and Capital Management group.

You will collaborate cross-functionally to ensure sound estimates, maintain governance, and drive improvements across the model lifecycle in a hybrid work environment with opportunities to work

Qualifications

• Bachelor's degree with quantitative underpinning and 5+ years of programming/analytics experience or 9+ years in risk/credit/finance.
• 5+ years' experience demonstrating programming in SQL, Python, Spark with Linux for large data analysis.
• Willingness to travel as required.

Responsibilities

• Plan and execute models in CECL and related reserve forecasting processes.
• Maintain data input monitoring, production controls and output analytics with documentation.
• Support quarterly reviews, governance and model validation responses.
• Visualize insights and trends for stakeholders and leaders.
• Collaborate across Forecasting, Reserve/Stress Testing, Model Development and Data Governance.

Skills

Data science

Statistical analysis

Model development

Communication

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

Spark

Hadoop

Linux

Job description

Synchrony is seeking a data scientist/credit risk modeling professional to lead quarterly reserve development and CECL-focused analyses. You will execute, maintain and enhance complex models under regulatory guidance, leveraging Python, Spark, SQL and Linux within the Credit and Capital Management group.

You will collaborate cross-functionally to ensure sound estimates, maintain governance, and drive improvements across the model lifecycle in a hybrid work environment with opportunities to work