Senior Loss Forecasting Consultant
Remote
Job Id:
140924
Job Category:
Job Location:
Remote
Security Clearance:
No Clearance
Business Unit:
Piper Companies
Division:
Piper Enterprise Solutions
Position Owner:
Johnny Tran
Piper Companies is seeking a Senior Loss Forecasting Consultant to join one of the largest federal credit unions. The Senior Loss Forecasting Consultant will validate and challenge the CECL team's projections using quantitative methods.
Responsibilities of the Senior Loss Forecasting Consultant include:
- Independently validate the findings of the CECL team using quantitative methodologies.
- Challenge the CECL team's projections and methodologies to ensure they are based on valid assumptions and recent market trends.
- Replicate CECL models to validate and obtain accurate loss forecast numbers.
- Understand and forecast losses for the entire portfolio, considering changes in policy or economic factors.
- Apply industry best practices and work above inter-organizational politics to ensure unbiased and accurate results.
Qualifications for the Senior Loss Forecasting Consultant include:
- 8+ years of experience in loss forecasting and modeling, preferably from a financial institution, bank, credit union, or related member services organization
- Strong skills in Python and R, along with strong SQL skills
- Expertise in quantitative methodologies to validate and challenge projections and methodologies
- Experience in PD/LGD/EAD framework is highly desired
- Deep understanding of industry best practices and recent market trends
- Knowledge of loss forecasting for entire portfolios, considering policy changes and economic factors
Compensation for the Senior Loss Forecasting Consultant include:
- Salary: $165,000 - $180,000 -- Hourly $75/hr - $80/hr
- Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays
This job opens for applications on April 16, 2025. Applications for this job will be accepted for at least 30 days from the posting date.
#LI-JT2 #LI-REMOTE
Keywords: Loss Forecasting, Modeling, CECL, Quantitative Methodology, Python, R, SQL, Financial Institution, Bank, Credit Union, Portfolio Analysis, Economic Factors, Policy Changes, Model Validation, Industry Best Practices, Market Trends, Independent Work, Member Services Organization.