• Design and implement portfolio-level and loan-level analytical frameworks, including: • Static pool and vintage analysis • Delinquency and roll-rate migration analysis • Loss timing, loss curves, severity, and recovery analysis • Prepayment, extension, and modification behavior analysis • Define, standardize, and document analytical credit metrics for manufactured housing chattel loans. • Segment portfolios by risk characteristics and identify key drivers of performance and deterioration. • Develop early-warning indicators and monitoring frameworks to support proactive credit and servicing decisions. • Construct analysis-ready datasets and derived structures (cohorts, states, transitions, flags) to support portfolio and credit analysis. • Build loan-level, payment-level, and event-level analytical models for diagnostics and decision support. • Develop and maintain analytical logic to reshape, normalize, and enrich loan-level data for longitudinal analysis across time and performance states. • Conduct hypothesis-driven analysis to explain observed performance, test competing explanations, and inform concrete credit, servicing, or portfolio decisions. • Design methodologies where none exist and refine them as understanding improves. • Evaluate data completeness, consistency, and reasonableness from an analytical perspective. • Identify edge cases, definitional ambiguities, and structural limitations that impact analysis. • Develop defensible analytical treatments and clearly document assumptions, limitations, and trade-offs. • Implement validation checks, reconciliations, and reasonableness testing within analytical work. • Produce clear, decision-oriented analytical outputs for senior management, credit stakeholders, and external counterparties. • Support investor, diligence, and risk discussions with rigorous, well-documented analysis. • Translate complex analytical results into concise, intelligible conclusions for non-technical audiences. • Independently determine analytical approaches and methodologies. • Prioritize work based on risk, materiality, and decision impact. • Clearly communicate uncertainty, confidence levels, and analytical trade-offs. • Operate effectively with minimal direction in an evolving environment.