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About the role
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Education: Master’s degree in Statistics, Economics, Mathematics, Engineering, Data Science, Business, or a related quantitative field
- Experience: 10+ years of progressive experience leading advanced analytics and modeling teams in financial services, with direct expertise in consumer lending collections or credit risk management
- Leadership: Proven track record of building high-performing analytical teams, as well as influencing cross-functional stakeholders. Excellent communication and organizational skills
- Technical & Analytical Expertise: Deep expertise in statistical modeling, segmentation, loss forecasting, and modern analytics workflows. Hands-on fluency with tools such as SQL, Python/R, and BI/visualization platforms (e.g., Tableau, PowerBI, Looker)
- Agility & Drive: Exceptional ability to synthesize complex data, prioritize high-impact initiatives, and operate with a strong sense of urgency in a fast-paced environment
- Preferred Experience: Hands-on experience building or deploying predictive machine learning models (e.g., propensity to pay, roll-rate models, channel response models)
More about this role
At Prosper, we are committed to advancing financial well-being through smarter, technology-driven financial solutions. We are seeking an exceptional leader to head our Analytics function within the Collections & Recoveries organization.
As the Director, Collections Strategy & Analytics, you will serve as a strategic leader responsible for optimizing portfolio credit performance across our Personal Loans and Credit Card business lines. Reporting directly to the VP of Collections & Recoveries, you will lead and empower high-performing analytics teams to design, test, and deploy data-driven strategies across the entire credit lifecycle. Leveraging modern data stacks, machine learning, and advanced behavioral segmentation, you will drive collection effectiveness, elevate operational efficiency, and deliver a best-in-class customer experience.
Lead AI/ML & BI Capabilities: Direct the team in leveraging modern Business Intelligence tools, advanced analytics, and machine learning techniques to drive actionable insights.
Own Loss Forecasting: Oversee the development, validation, and maintenance of loss forecasting models. Continuously benchmark and refine forecasting methodologies against...
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