CECL Loss Modeler

Piper Companies is seeking a Sr. Quantitative Loss Forecasting Modeler to join one of the nation’s largest premier credit unions. The Sr. Quantitative Loss Forecasting Modeler's primary responsibility will be CECL modeling to analyze credit and prepayment risk, determine the allowance for loan losses, and support financial planning.

Responsibilities of the Sr. Quantitative Loss Forecasting Modeler include:

• Implement models for loan loss allowance, CECL, stress testing, new volume origination, line of credit utilization, and prepayment models for all products, including credit card, personal loan, student loan, auto loan, and commercial loan.
• Maintaining documentation for key processes and model components across the team with a focus on standardization of processes that satisfy model risk management, audit, and regulatory requirements.
• Implement vendor-developed models for consumer and commercial credit loss or prepayment.
• Monitor performance of quantitative models and support independent model validation efforts in accordance with the model risk management policy.
• Establish and document model implementation controls that satisfy model risk management, audit, and regulatory requirements.

Qualifications for the Sr. Quantitative Loss Forecasting Modeler include:                                                                                            

• 7+ years of experience in quantitative modeling, development, or implementation.
• Experience in PD/LGD/EAD framework is highly desired,
• Working experience in data manipulation and advanced data analysis.
• Experience with SAS, R, Python, and proficiency working with large datasets is required.
• Must have extensive experience with Logistic Regression, Linear Regression, Survival Analysis, Time Series Analysis, Decision Trees, Cluster Analysis, Markov Chain, Machine Learning
• Must have a Masters Degree in a Quantitative Field: Statistics, Mathematics, Economics, Finance, Analytics, etc,
• Banking analytics/modeling experience is preferred: CCAR/CCEL Modeling, Fraud Detection, AML

Compensation for the Sr. Quantitative Loss Forecasting Modeler include:

• Hourly Pay: $80 - $85/hr -- Salary Range: $160,000-$175,000
• Comprehensive Benefits: PTO, Paid Holidays, Cigna Healthcare, Dental, Vision, 401k, Sick leave as required by law

This job opens for applications on 3/31/2025. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: #LI-CR2 #LI-HYBRID

Data, data science, R, sas, python, datasets, logistic regression, linear regression, survival analysis, time series analysis, decision trees, cluster analysis, real estate, auto, credit card, consumer lending, consumer banking, modeling, model implementation, model risk, documentation, prepayment risk, financial services