CECL & Credit Loss Forecasting Analyst

First Horizon Corp.; Charlotte, Northern (NC, KY); Hybrid; USD 75,000 - 105,000; Full time

Benefits offered by this job

Medical with wellness incentives

HSA with company match

Maternity and parental leave

Tuition reimbursement

Mentor program

401(k) with 6% match

Job summary

First Horizon Corporation in Charlotte, NC seeks a quantitative professional to assist in CECL documentation, production, and analysis for consumer and commercial lending portfolios. You will work with CECL platform outputs, and use Dataiku, PowerBI and Excel to support reserves and forecast reporting.

The role requires 4–6 years in credit loss analytics, a 4-year degree in business or mathematical sciences, and skills in Python/SQL. Strong analytical abilities and Excel experience are essential.

Qualifications

• Bachelor's degree in business or mathematical sciences or equivalent
• 4-6 years of experience in credit loss analytics or loss forecasting
• Working knowledge of Python or SQL required
• Strong analytical skills
• Microsoft Excel experience required

Responsibilities

• Assist in documentation, production, and analysis of CECL, credit loss forecasting, and stress testing materials
• Use CECL platform to extract and analyze model results
• Utilize Dataiku, PowerBI, Excel or other tools to analyze reserves and forecasts with data controls
• Update standard tables and commentary for CECL and related forecasts
• Analyze economic forecast data and relate it to loss forecast changes
• Maintain process and procedures documentation
• Perform ad hoc portfolio analyses related to credit risk

Skills

Strong analytical skills

Excel proficiency

Education

Bachelor's degree in business or mathematical sciences

Tools

Python

SQL

Excel

Job description

First Horizon Corporation in Charlotte, NC seeks a quantitative professional to assist in CECL documentation, production, and analysis for consumer and commercial lending portfolios. You will work with CECL platform outputs, and use Dataiku, PowerBI and Excel to support reserves and forecast reporting.

The role requires 4–6 years in credit loss analytics, a 4-year degree in business or mathematical sciences, and skills in Python/SQL. Strong analytical abilities and Excel experience are essential.