Senior Loss Modeler

Piper Companies is seeking a highly skilled Senior Loss Forecasting/Modeling Expert to develop loss forecasting models for consumer lending products, while working independently to validate the findings of the peer CECL team. This role requires a deep understanding of statistical models used to assess credit risk and guide lending decisions, as well as strong technical skills in Python, R, and SQL. This job opens for applications on 2/17/2025. Applications for this job will be accepted for at least 30 days from the posting date.

Responsibilities of the Senior Loss Forecasting/Modeling Expert Include:

• Developing and validating loss forecasting models for consumer lending products (e.g., credit card, auto, personal loans).
• Utilizing the PD/LGD/EAD framework, with a strong emphasis on the Probability of Default (PD) component.
• Replicating and validating CECL team models to ensure accurate loss forecasting.
• Communicating loss forecasting results to upper management and other stakeholders.
• Challenging CECL team projections and methodologies using quantitative analysis.
• Staying updated on industry best practices and recent market trends.
• Working on-site for three days per week in McLean, VA.

Qualifications for the Senior Loss Forecasting/Modeling Expert Include:

• Hands-on experience in developing loss forecasting models for consumer lending products.
• Strong expertise in the PD/LGD/EAD framework, especially the PD component.
• Experience in model development (not just implementation and reporting).
• Strong Python coding skills.
• Willingness to relocate if converting to a full-time employee.
• Proven experience in communicating loss forecasting results to upper management and other stakeholders.
• Experience in a financial institution, bank, credit union, or related member services organization.
• Strong skills in Python, R, and SQL.

Compensation of the Senior Loss Forecasting/Modeling Expert Includes:

• Salary 150,000-160,000 base or contract rate $80/hr
• Comprehensive benefits package including medical, dental, vision, 401K, PTO, and holidays

Keywords: #LI-JD5 #LI-REMOTE

CECL, losses, forecast, forecasting, credit risk, models, modeling, consumer credit, automotive, student loan, student loans, personal loans, consumer loans, credit, card, python, SAS, Pandas, numpy, regression, testing