Segoso

• Manage and recover outstanding debts on behalf of client organizations, using communication and negotiation skills to drive successful outcomes. • Contact consumers regarding past-due accounts on behalf of clients • Negotiate repayment plans and resolve outstanding balances • Handle high-volume inbound and outbound calls professionally • Investigating and resolving account disputes • Analyze account histories to determine appropriate collection strategies • Maintain accurate and compliant account documentation

• Report directly to the Vice President of Strategic Initiatives and support analytics and modeling projects across account segmentation, contact strategy optimization, and early-warning detection. • Work with cross-functional teams (operations, compliance, IT) to turn data into actionable insights, build repeatable analytics, and productionize models. • Build, validate, and maintain predictive models (e.g., credit/payment propensity, churn/risk, contact response) using Python/R and standard ML libraries. • Clean, explore, and feature-engineer large-structured datasets from multiple sources (payments, contact history, credit bureau, CRM). • Run A/B tests and propensity-matched experiments to evaluate contact strategies and messaging, measure lift and report results. • Create dashboards, visualizations, and regular reports for operations and leadership (KPIs: recovery rates, promise-to-pay keep rates, contact conversion, roll rates). • Assist in productionizing models: packaging, documentation, monitoring, and retraining schedules in collaboration with others. • Implement and track model performance, fairness, and stability metrics; support model governance and compliance documentation. • Support data pipelines and ETL tasks; partner with data engineering to ensure data quality and lineage. • Translate business problems into analytical approaches; present findings and recommended actions to stakeholders. • Stay current on best practices in supervised/unsupervised learning, causal inference, and responsible AI as applied to collections.