Explore a dynamic and critical career path with CCAR Secured Model Analyst II jobs, a specialized role at the intersection of quantitative finance, regulatory compliance, and risk management. Professionals in this field are primarily responsible for developing, testing, and maintaining sophisticated statistical models that forecast potential financial losses in a bank's secured lending portfolios—such as mortgages and auto loans—under various stressful economic scenarios. This work is fundamental to a financial institution's stability and its ability to comply with major regulatory frameworks like the Comprehensive Capital Analysis and Review (CCAR), Dodd-Frank Act Stress Testing (DFAST), and Current Expected Credit Loss (CECL). The day-to-day responsibilities of a CCAR Secured Model Analyst II are both rigorous and varied. A typical workday involves managing the entire model lifecycle. This begins with the acquisition and rigorous quality control of large, complex datasets, ensuring the integrity of the information used for modeling. Analysts then design and build econometric models at either the portfolio segment or individual account level to predict credit losses. A significant portion of the role is dedicated to model validation, which includes conducting extensive sensitivity analyses, back-testing against historical data, and out-of-time testing to ensure predictive accuracy and robustness. Furthermore, these professionals are tasked with the annual revalidation and potential recalibration of models to incorporate new data and economic trends. A crucial deliverable is the creation of comprehensive, clear, and thorough model documentation that meets stringent internal and regulatory standards. Beyond technical tasks, these analysts frequently collaborate with cross-functional teams, including business stakeholders, model validation units, and governance committees, to explain model methodologies and outcomes. They also play a key role in preparing materials and responses for regulatory examinations. To succeed in CCAR Secured Model Analyst II jobs, candidates typically need a strong educational foundation, usually a master's degree or PhD in a quantitative field such as Statistics, Applied Mathematics, Economics, Operations Research, or Quantitative Finance. Employers generally seek individuals with 2-4 years of direct experience in quantitative analysis, specifically in statistical modeling, loss forecasting, and econometrics, preferably within a banking or financial services context. Practical, hands-on experience with the end-to-end model development process—from data collection and variable selection to model estimation, testing, and implementation—is paramount. Given the highly technical and collaborative nature of the role, exceptional communication skills are essential. Analysts must be able to distill complex, technical concepts into clear, actionable insights for both technical peers and non-technical business audiences, making this a challenging yet highly rewarding profession for those with a passion for data-driven decision-making in finance.
