Director, Collections Strategy & Analytics
Listed on 2026-10-20
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IT/Tech
Data Analyst
At Proper, 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.
Howyou'll make an impact
Advanced Analytics, AI/ML & Loss Forecasting
- 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 industry best practices to maximize accuracy. - Experimental Design & Optimization:
Champion a rigorous testing culture by designing, executing, and evaluating A/B and multivariate strategy experiments. - Portfolio Analytics:
Monitor portfolio performance at a deep segment level to identify emerging risk trends, perform root‑cause analysis, and isolate core performance drivers. - KPI Governance:
Establish robust Key Performance Indicators (KPIs) and operational dashboards to measure strategic efficiency and financial returns.
Strategic Leadership & Innovation
- Drive End-to-End Strategy:
Architect, deploy, and refine integrated customer contact and treatment strategies for both early‑stage collections and late‑stage recoveries. - Foster Out‑of‑the‑Box Problem Solving:
Bring innovative approaches to borrower engagement, digital outreach, and treatment optimization that balance recovery performance with customer empathy. - Executive & Stakeholder Communication:
Synthesize complex analytical findings into clear strategic narratives. Regularly present portfolio health, strategy performance, and key metrics to executive leadership and key external partners. - Cross‑Functional Synergy:
Partner with Credit Risk, Marketing, Product, Engineering, and Operations to seamlessly deploy strategies.
- 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).
- A hybrid…
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