Quantitative Model Consultant

Job Type: Contract through the end of the year with opportunities for extensions or conversions

Location: Remote working EST hours - prefer some travel to Buffalo, NY or Charlotte, NC - expenses paid!

The ideal candidate will have hands-on experience with model development/implementation/reporting related to CECL and CCAR preferably on the SAS platform

Summary:

Develop, implement, and maintain CECL and CCAR models using SAS and other relevant tools, ensuring accuracy, scalability, and efficiency.

Responsibilities:

• Lead the implementation of quantitative models used for credit risk, balance sheet, and income statement in support of capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models, PPNR models and financial instrument valuation methods.
• Execute models in production environment; communicate analytical results to stakeholders. Track portfolio dynamics, model forecasts, and risk strategy results. Incorporate observations and data to improve operation efficiency.
• Develop, maintain and manage satisfactory implementation documentation, including process narratives, quality control and workflow guidelines to serve as reference source.
• Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and model implementation.

Requirements:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
• Experience working with SAS and cloud-based services, with a focus on model deployment and productionization.
• Knowledge of banking regulations and compliance frameworks, particularly CECL and CCAR, is essential.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.