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Director, Collections Strategy & Analytics
🕒 12 days ago
Advanced AnalyticsMachine LearningBusiness IntelligenceLoss Forecasting
📜 Description
- Lead analytics teams and BI capabilities, applying advanced analytics and machine learning to generate actionable insights.
- Oversee loss forecasting models, including their development, validation, maintenance, and ongoing refinement.
- Design and evaluate A/B and multivariate experiments to optimize collections strategies.
- Analyze portfolio performance by segment, identify emerging risks, and investigate performance drivers.
- Develop customer contact and treatment strategies for early-stage collections and late-stage recoveries.
- Set KPIs and dashboards, communicate findings to executives and partners, and coordinate strategy deployment with cross-functional teams.
🛠️ Requirements
- Master's degree in Statistics, Economics, Mathematics, Engineering, Data Science, Business, or a related quantitative field.
- 10+ years of progressive experience leading advanced analytics and modeling teams in financial services.
- Direct expertise in consumer lending collections or credit risk management.
- Experience building analytical teams and influencing cross-functional stakeholders; strong communication and organizational skills.
- Expertise in statistical modeling, segmentation, loss forecasting, and modern analytics workflows.
- Fluency with SQL, Python or R, and BI or visualization platforms such as Tableau, PowerBI, or Looker.
- Preferred: hands-on experience building or deploying predictive machine learning models, such as propensity-to-pay, roll-rate, or channel-response models.
Full job description
Your Role in Our Mission
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.
How you'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.
Skills that will help you thrive
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).
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