Collections Analytics & Strategy Manager

Strategy & Planning

• Define the global collections strategy in partnership with the Senior Manager, setting priorities, recovery targets, and market-level initiatives.

• Translate business goals into actionable collection strategies for each market (LatAm, ZA, PH).

• Build and maintain the global collections playbook, ensuring consistency and best practices across regions.

• Identify expansion opportunities and support new market readiness from a collections strategy standpoint.

A/B Testing & Experimentation

• Design, launch, and manage A/B tests and controlled experiments across collection channels, messaging, and treatment strategies.

• Define hypotheses, success metrics, and minimum detectable effects for each experiment.

• Analyze test results and make data-backed recommendations on whether to roll out, iterate, or discontinue an initiative.

• Build an experimentation culture across the collections team, documenting learnings and sharing findings broadly.

Impact Measurement & Decision Support

• Own the end-to-end measurement framework for collections initiatives — from baseline to post-launch impact.

• Develop and maintain KPIs, recovery rate tracking, and portfolio health indicators across all markets.

• Deliver regular performance insights to collections leadership with clear, actionable recommendations.

• Support Senior Manager with analytical input for strategic decisions, headcount planning, and budget discussions.

Agency ROI & Benchmarking

• Monitor and evaluate the ROI of external collection agencies — fully separated from the operations function to ensure objectivity.

• Identify underperforming agency contracts and recommend revisions, renegotiations, or terminations based on data.

• Benchmark collection performance across markets, identifying gaps and best practices to replicate.

• Build and maintain agency scorecards that combine performance, cost, compliance, and risk metrics.

Segmentation & Analytics

• Conduct in-depth portfolio segmentation analysis to identify recovery patterns, risk profiles, and treatment opportunities.

• Support the development of collection score, propensity models and contact prioritization logic in collaboration with the Risk and Data Science teams.

• Translate complex analytical findings into clear, business-friendly recommendations for operations teams.

• Partner with risk, product, and data teams to align collections analytics with broader company data strategy.

Cross-functional Collaboration

• Work closely with collections operations and tools teams to ensure strategy is grounded in operational reality.

• Communicate strategy and results to senior stakeholders in executive-ready formats.

• Partner with finance, risk, and product to ensure collections strategy aligns with company-wide goals.

• Collaborate across departments to ensure data consistency and shared understanding of performance 

Technical Skills & Tools

• Mandatory: SQL (advanced), Python, Hex (or equivalent BI/notebook tools).

• Mandatory: solid foundation in statistics and quantitative methods — hypothesis testing, regression analysis, confidence intervals, and experimental design applied to business problems.

• Mandatory: hands-on experience with A/B testing methodologies, experimentation frameworks, and interpreting statistical significance in a business context.

• Experience with predictive modeling or propensity scoring techniques (logistic regression, decision trees, or equivalent).

• Proficiency in translating data and statistical findings into strategic narratives and executive-level recommendations.

• Familiarity with API integrations and connecting to external data sources.

Desirable but Not Essential

• Knowledge of collections, credit risk, or lending operations.

• Experience with agency management, vendor scorecards, or procurement analytics.

• Familiarity with machine learning or statistical modeling for propensity scoring.

• Experience in Fintech, financial services, or similarly data-driven industries.

Specific Knowledge

• Experience in Data Science, Strategy, Business Intelligence, Analytics, or Collections Operations roles.

• Strong understanding of portfolio management, delinquency tracking, and recovery strategies.

• Ability to independently scope, execute, and communicate strategic projects with minimal supervision.

Expected Results from This Role

• A clearly defined and data-backed global collections strategy, updated quarterly.

• Faster, better-informed rollout decisions driven by a structured experimentation framework.

• Measurable improvement in agency ROI through active, objective performance monitoring.

• Cross-market benchmarking that surfaces best practices and accelerates performance improvement.

• A collections team that operates with analytical discipline — measuring what matters and acting on evidence.

Soft Skills

• Strategic thinker with strong analytical foundations — comfortable moving between high-level vision and detailed data.

• Excellent communication skills — able to present complex findings to both technical and executive audiences.

• Strong ownership mentality — proactive in identifying problems and proposing solutions without being asked.

• Collaborative but opinionated — brings a point of view and defends it with data.