Explore high-impact VP - Credit Risk Analytics - Collections & Recovery Policy jobs and discover a senior leadership role at the intersection of data, strategy, and financial stability. This executive position is critical within banking, fintech, and consumer finance, responsible for architecting and overseeing the analytical frameworks that govern how institutions manage delinquent accounts and minimize credit losses. Professionals in this role serve as the strategic linchpin, transforming complex data into actionable policies that balance risk mitigation with customer treatment and regulatory compliance. The core mission of a VP in this field is to lead the development, validation, and continuous enhancement of collections and recovery strategies. This involves managing a team of data scientists and analysts to build sophisticated statistical models—including segmentation, propensity-to-pay, and loss forecasting models. These models directly inform operational policies, determining contact strategies, settlement offers, hardship arrangements, and the allocation of accounts to internal teams or external agencies. A typical day involves steering model development, presenting risk insights to the C-suite and board-level committees, and ensuring all strategies align with both business profitability goals and stringent regulatory expectations like fair lending laws. Common responsibilities for these leadership jobs encompass a wide spectrum. Leaders in this profession are accountable for the entire analytics lifecycle: defining the problem, extracting insights from vast datasets, championing model implementation, and monitoring post-deployment performance. They establish key risk indicators and management dashboards to track portfolio health and strategy effectiveness. Furthermore, they play a crucial role in stress testing and scenario analysis, ensuring the organization is resilient under adverse economic conditions. Collaboration is key, requiring constant partnership with collections operations, finance, compliance, and technology teams to translate analytical recommendations into executable action. Typical skills and requirements for candidates seeking VP - Credit Risk Analytics jobs include an advanced degree in statistics, mathematics, finance, or a related quantitative field, coupled with over a decade of progressive experience in credit risk, preferably within collections and recovery. Mastery of statistical programming languages (SAS, Python, R) and big data platforms is essential, as is deep expertise in predictive modeling and machine learning techniques. Beyond technical prowess, successful VPs demonstrate exceptional leadership, communication, and stakeholder management skills, with a proven ability to explain complex models to non-technical audiences. A thorough understanding of the regulatory landscape governing consumer credit and collections is a fundamental requirement for these pivotal roles, making it a career path for those who excel at driving business strategy through data-driven decision-making.
