Own servicing and collections analytics across all investor portfolios, including delinquency, roll rates, cure behavior, loss mitigation performance, recoveries, and long-term credit outcomes.
Confidently engage directly with investors to discuss performance of purchased portfolios, answer questions, and provide clear, data-backed explanations.
Translate complex analytical findings into concise, compelling narratives tailored to executives, investors, and operational leaders.
Provide senior leadership and direction over existing servicing and collections analytics functions, including KPIs, scorecards, dialer performance, agent productivity, and operational effectiveness.
Partner closely with Capital Markets, Treasury, Risk, Product, Business Intelligence, and Operations to align data definitions & assumptions.
Provides leadership and strategic oversight to servicing and collections analytics teams.

Requirements

Bachelor’s degree required; advanced degree preferred.
10+ years of experience in analytics, strategy, or finance within consumer lending, servicing, collections, or capital markets.
Strong proficiency in SQL and Python; experience with Tableau or similar BI tools preferred.
Expert-level Microsoft Excel skills (advanced formulas, modeling, automation) and PowerPoint.
Experience working with large datasets in cloud or distributed environments (e.g., Databricks, Snowflake).
Deep understanding of servicing and collections performance metrics, delinquency behavior, and loan lifecycle analytics.
Strong familiarity with investor reporting, structured finance concepts, and portfolio-level performance analysis.
Exceptional ability to communicate complex analytical concepts clearly and confidently to executives and investors.
Proven ability to work across multiple initiatives in a fast-paced, highly visible environment.
High intellectual curiosity, strong attention to detail, and a proactive, strategic mindset.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonTableauMicrosoft ExcelPowerPointdata analysismodelingautomationlarge datasetsloan lifecycle analytics

Soft Skills

communicationleadershipstrategic oversightattention to detailintellectual curiosityproactive mindsetanalytical thinkingcollaborationnarrative developmentperformance analysis