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CECL Model Development & Implementation Lead

EverBank
Posted 20 hours ago, valid for 8 days
Location

Zanesville, OH 43701, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The CECL Model Development & Implementation Lead is responsible for leading the development and implementation of Current Expected Credit Losses (CECL) models, focusing on improving model performance and ensuring scalability.
  • Key responsibilities include developing models for segments without existing coverage, enhancing underperforming models, and executing the end-to-end model development lifecycle.
  • Candidates should have extensive experience in model development across various asset classes, strong programming skills in Python, SAS, and SQL, and a solid understanding of CECL methodologies.
  • A minimum of 5 years of relevant experience is required, with a preference for candidates having 7 or more years of experience and a Master's degree in a related field.
  • The position offers a career level of 8IC, with a focus on automation and process improvement, and the posting end date is May 25, 2026.

CECL Model Development & Implementation Lead
The CECL Model Development & Implementation Lead leads Current Expected Credit Losses (CECL) model development, enhancement, and end-to-end implementation initiatives, focusing on improving model performance, expanding coverage across new segments, and ensuring models are production-ready within a scalable and automated framework.

Key Responsibilities and Duties

  • Develops and implements Current Expected Credit Losses (CECL) models for material segments without existing coverage, including assessing portfolio characteristics and identifying key risk drivers.
  • Leads model enhancement and replacement strategy for underperforming models, including reassessment of assumptions, data inputs, and model structure.
  • Executes end-to-end model development lifecycle, including calibration, testing, documentation, validation readiness, production deployment, and model performance monitoring.
  • Applies strong understanding of cash flow-based CECL methodologies, including lifetime loss estimation, prepayment, and charge-off dynamics.
  • Identifies opportunities for system automation and process improvement across data preparation, model execution, and testing.

Educational Requirements

  • University (Degree) Preferred

Required Qualifications

  • Extensive experience in model development, testing, and production implementation across multiple asset classes, including CRE, C&I, and consumer portfolios.
  • Strong programming skills in Python, SAS, and SQL
  • Experience in model performance evaluation and back-testing
  • Strong expertise in CECL / ACL frameworks and stress testing

Preferred Qualifications

  • Master’s degree and above in Economics, Finance, accounting, and related areas (highly preferred).
  • Experience with Moody’s platforms

 

Role Specific Work Experience

  • 5+ Years Required; 7+ Years Preferred

Physical Requirements

  • Physical Requirements: Sedentary Work


Career Level
8IC

 

Qualifications

Posting end date: 5/25/2026




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