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The position is responsible for owning end-to-end analytics, insights, and storytelling across servicing, collections, and investor portfolios. This role is a senior, strategic counterpart to Capital Markets analytics, serving as the primary analytical leader for post-origination performance in Servicing. This individual will be providing executive-level analysis, forward-looking insights, and investor-ready narratives on portfolio performance, delinquency trends, credit changes, and macro impacts. The role is expected to proactively identify emerging risks and opportunities, explain why trends are occurring, and clearly articulate downstream impacts to internal leadership and external investors. This role requires the ability to confidently engage with investors, senior executives, and cross-functional partners, translating complex data into clear, credible insights about the performance of assets.
Job Responsibility:
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