Explore a career in high-impact financial analytics with AVP-CCAR Unsecured Model Development jobs. These senior-level roles are central to the financial industry's stability, focusing on the creation and maintenance of sophisticated statistical models that predict potential losses in a bank's unsecured lending portfolios. Professionals in this field are quantitative experts who ensure their institutions can withstand severe economic downturns, as mandated by regulatory frameworks like the Comprehensive Capital Analysis and Review (CCAR) and the Current Expected Credit Loss (CECL). An Assistant Vice President (AVP) in CCAR Unsecured Model Development typically leads the end-to-end process of building econometric models for products like credit cards and personal loans. Their common responsibilities form a rigorous lifecycle. This begins with sourcing and conducting rigorous quality control on large, complex datasets. They then progress to developing and estimating the statistical models themselves, which forecast credit losses under various stressful economic scenarios. A significant part of the role involves validating these models through a battery of tests, including sensitivity analysis, back-testing, and out-of-time testing, to ensure their accuracy and robustness. Professionals in these jobs are also responsible for the comprehensive documentation of their methodologies and findings, a critical step for both internal governance and regulatory review. Furthermore, they frequently collaborate with cross-functional teams, such as model validation units, business stakeholders, and implementation teams, to ensure models are understood, approved, and correctly deployed. A key aspect of the role involves preparing and presenting model results and justifications to internal auditors and regulatory agencies. The typical requirements for these jobs are substantial, reflecting the role's seniority and technical complexity. Candidates almost always need an advanced degree (Master's or PhD preferred) in a highly quantitative field such as Statistics, Applied Mathematics, Economics, or Operations Research. Employers generally seek individuals with extensive experience, often 5-10 years, in quantitative analysis, specifically in statistical modeling, loss forecasting, and econometrics within consumer credit risk. Proficiency with data manipulation and statistical programming tools like SAS, SQL, and R or Python is standard. Beyond technical prowess, exceptional communication skills are paramount, as these professionals must articulate complex model mechanics to both technical and non-technical audiences. Finally, many AVP-level positions include a mentorship or team leadership component, requiring the ability to guide and manage a small team of junior analysts. For those with a deep passion for data and finance, AVP-CCAR Unsecured Model Development jobs offer a challenging and rewarding career at the intersection of analytics, regulation, and financial risk management.
