USA remote
Director of Collections Strategy
About this role
Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision. Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together. The Director of Collections will report to our Head of Risk and Data Science.
As the Director of Collections you will: Build and lead the end-to-end collections strategy across personal loans and student loan refinance, with an initial focus on scaling the personal loan portfolio. Leverage advanced risk modeling and analytics to design collections and loss-mitigation strategies that improve portfolio performance throughout the delinquency lifecycle while delivering a positive customer experience.
Design and optimize treatment strategies spanning early-stage outreaches, hardship programs, and pre-charge-off interventions. Design and execute tests across digital and traditional communication channels, continuously optimizing customer engagement through rigorous experimentation and measurement. Lead the AI integration roadmap for collections strategy and leverage AI tools to improve productivity and outcomes. Define and monitor portfolio KPIs, and translate complex data into actionable business decisions.
Drive clear performance expectations and accountability with third-party vendors, and develop the long-term operating model for the optimal balance between internal capabilities and third-party partners. About You: 10+ years of experience in consumer lending collections strategy, with significant ownership of loss mitigation strategy and collections analytics. Deep expertise in unsecured consumer lending, preferably Personal Loans, Student Loan Refinance, Credit Cards, or other installment lending products.
Proven track record of improving collections performance while balancing customer experience, regulatory compliance, and operational efficiency. Strong analytical and quantitative background with extensive experience using data to identify opportunities, develop strategies, and measure business impact. Expert understanding of collections performance metrics, charge-offs, and vendor management. Proficiency with SQL and familiarity with Python, statistical modeling, and modern business intelligence platforms (e.g., Tableau, Looker).