Credit Risk Analyst

Remote
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AI Summary

We are seeking a Credit Risk Analyst to execute CECL models, perform credit stress testing, and analyze changes in allowance levels. The ideal candidate will have a strong background in statistics, economics, or a related quantitative discipline. Proficiency in Python and/or SAS is required.

Key Highlights
Execute CECL models
Perform credit stress testing
Analyze changes in allowance levels
Key Responsibilities
Execute CECL models on a recurring basis
Perform credit stress testing and scenario-based loss forecasting
Analyze changes in allowance levels, expected losses, and stressed loss estimates
Prepare and maintain model execution documentation and results summaries
Assist with responses to model risk management and regulatory inquiries
Technical Skills Required
Python SAS CECL ACL Credit Stress Testing Loss Forecasting
Benefits & Perks
Comprehensive benefits package
Equity stock purchase
401k contribution
Flexible work arrangement
Remote work
Nice to Have
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

Job Description


Pinnacle Method Consulting's mission is to help job seekers reach their career peak by accessing top-tier opportunities. We are not a staffing firm or agency. Pinnacle Method does not hire for these roles—we systematically source and verify them from premier employers.

Employer Industry: Healthcare Services

Why Consider This Job Opportunity

  • Salary up to $130,000 annually
  • Comprehensive benefits package, including equity stock purchase and 401k contribution
  • Opportunity for career advancement and growth within the organization
  • Flexibility to work remotely from anywhere within the U.S.
  • Supportive and inclusive work culture focused on health optimization
  • Recognition programs and incentives for performance

What To Expect (Job Responsibilities)

  • Execute CECL 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

What Is Required (Qualifications)

  • Bachelor's degree in Statistics, Economics, Finance, Mathematics, Data Science, or related quantitative discipline
  • 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

How To Stand Out (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

#HealthcareServices #CreditRisk #CareerOpportunity #RemoteWork #DataAnalysis

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

#PinnacleMethodConsulting

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