Job Type
Full-time
Description
The CECL Analyst supports the organization's Current Expected Credit Losses (CECL) modeling, reporting, and analysis. This role assists in collecting, validating, and analyzing loan portfolio data to support allowance calculations, risk assessments, regulatory reporting, and management presentations. The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling.
What You'll Do:- CECL Data & Modeling Support
- Assist with preparing and validating monthly/quarterly CECL dataset inputs, ensuring accuracy and completeness.
- Support the execution of CECL models, including probability of default (PD), loss given default (LGD), and prepayment models.
- WARM methodology and Static Pool/Vintage Loss analysis.
- Help maintain model documentation and version control.
- Analysis & Reporting
- Assist in generating CECL allowance calculations and variance analyses.
- Prepare supporting schedules, workpapers, and dashboards for internal stakeholders and auditors.
- Identify trends in portfolio performance, credit quality, and model outputs.
- Controls, Compliance & Audit Support
- Support internal and external audit requests related to CECL processes and controls.
- Ensure CECL processes align with regulatory guidance and internal policies.
- Contribute to the enhancement of data quality procedures and risk controls.
- Cross-Functional Collaboration
- Partner with Credit, Finance, Accounting, and Data teams to gather required inputs and clarify assumptions.
- Support ad hoc analysis and special projects related to credit risk, loan portfolio performance, or regulatory changes.
Requirements
What We're Looking For:- Degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Analytics, or related field.
- Strong analytical and quantitative skills.
- Previous experience with vended software, like Moody's Portfolio Analyzer or Impairment Studio preferred.
- Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.
- Ability to work with large datasets and identify discrepancies.
- Strong organizational skills and attention to detail.
Preferred Qualifications- 5+ years of experience in financial services, banking, credit risk, accounting, or data analytics.
- Exposure to CECL methodology, ALLL, or other credit modeling frameworks.
- Experience with loan servicing or core banking systems.
- Understanding of credit risk metrics and loan portfolio structures.
Key Competencies- Analytical thinking
- Problem-solving
- Data accuracy and precision
- Ability to manage multiple priorities
- Strong communication skills
- Initiative and willingness to learn complex financial concepts
