Job
Description
We are seeking a highly skilled and motivated CCAR/CECL Modeler to join our team. In this role, you will develop and deploy regulatory models used for regulatory reporting and financial forecasting. The ideal candidate should have expertise in statistical modeling, data analysis, and financial risk assessment, with a strong emphasis on understanding CCAR and CECL requirements. Responsibilities: Conducting specific aspects of the model development life cycle, which involves data acquisition, assessing data integrity, model development, documentation, and implementation assistance. Obtain, clean, and verify data used in model development, ensuring data integrity and quality. Design, develop, test, and validate statistical models for forecasting credit losses and assessing portfolio risk Provide comprehensive documentation for models and present findings to stakeholders Qualifications: 3-5+ years of experience in analytics, preferably in Banking and Financial Services. Hands-on experience working on regulatory models. Proficient in various statistical techniques, including regression, time series analysis. Understanding of credit risk, portfolio risk, and regulatory frameworks (e.g., CCAR, CECL). Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results. Proficiency in programming languages such as Python Strong communication skills, both written and verbal, with the ability to convey complex ideas to stakeholders.
