Overview
This opportunity offers a salary of up to $130,000 annually along with a comprehensive benefits package that includes equity stock purchase and 401(k) contributions. The role provides flexibility to work remotely from anywhere within the U.S. and offers opportunities for career advancement and growth within the organization. The work environment supports health optimization and includes recognition programs and performance incentives.
Responsibilities
- Execute CECL (Current Expected Credit Loss) models on a recurring basis, including data preparation, model runs, validation checks, and reconciliation
- Perform credit stress testing and scenario-based loss forecasting
- Analyze changes in allowance levels, expected losses, and stressed loss estimates, explaining key drivers
- Prepare and maintain model execution documentation and results summaries consistent with model governance
- Assist with responses to model risk management and regulatory inquiries
Requirements
- Bachelor's degree in Statistics, Economics, Finance, Mathematics, Data Science, or a related quantitative discipline
- Minimum of 3 years of experience running and supporting CECL, ACL, credit stress testing, or loss forecasting at a financial institution or consulting firm
- Proficiency in Python and/or SAS for data manipulation and analytical support
Preferred Qualifications
- Experience supporting consumer and/or commercial lending portfolios
- Familiarity with third-party CECL or stress testing platforms
- Knowledge of credit risk concepts such as PD/LGD, vintage analysis, roll rates, or loss emergence
- Exposure to regulatory expectations related to CECL and model governance
- Strong attention to detail and ability to manage multiple priorities in a deadline-driven environment
Compensation & Benefits
- Salary up to $130,000 annually
- Comprehensive benefits package including equity stock purchase and 401(k) contributions
- Remote work flexibility
- Career advancement opportunities
- Recognition and incentive programs
Location
- Remote position available anywhere within the United States