Youll be joining a forward-thinking team that transforms data into practical strategies for Debt Review performance. Your work will directly influence how accounts move through the lifecycle, from Active to Pre-Term and Terminated, maximizing collections and improving operational efficiency. This is a role with depth, visibility, and real-world impact where your insights actually drive change. The position reports into senior leadership, giving you exposure to both strategy and operations. Youll become the central hub for analytics, predictive modelling, and process optimization, helping the business make smarter, data-backed decisions. Key Responsibilities: Conduct deep-dive analytics across all Debt Review lifecycle segments to diagnose risk, predict behaviors, and improve yield. Map, assess, and redesign workflows end-to-end, identifying bottlenecks and delivering ROI-focused process improvements. Build and maintain predictive models (drop-off risk, cure/reactivation, post-termination recovery, settlement propensity, and optimal payment models). Segment portfolios and analyze mandate-level performance, providing actionable insights and dashboards for leadership. Produce accurate, timely reporting to support strategy, performance tracking, and operational decision-making. Job Experience and Skills Required: Degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, or similar quantitative field Proven experience in analytics, forecasting, and modelling within financial services, collections, or credit risk Experience translating insights into operational improvements and influencing stakeholders Understanding of Debt Review processes and regulatory frameworks is highly desirable Advanced SQL Python or R for statistical and predictive modelling Financial modelling expertise (NPV, ROI, amortization) Strong analytical, problem-solving, and critical-thinking skills Ability to produce clear, actionable insights for operational teams and leadership Confidence presenting to senior stakeholders Strong organizational skills and attention to detail Experience in end-to-end workflow optimization Apply now! For more exciting Finance vacancies, please visit:

Business Analyst Debt Review Analytics (Advanced Modelling / Collections Optimisation / Financial Services) A forward-thinking organisation within the financial services and collections industry is searching for a Specialist Analyst to own and optimise the full debt review (DR) lifecycle. This includes active debt review, pre-termination, and terminated DR portfolios, using advanced analytics to drive yield, reduce drop-off, enhance recovery strategies, and shape operational decision-making. This is your chance to become the single source of truth for DR performance delivering insights, models, and frameworks that directly influence commercial outcomes. Key Responsibilities: Build predictive models for drop-off risk, cure, reinstatement, settlement propensity, and post-termination recovery. Deliver end-to-end diagnostic insight across active DR, pre-term, and terminated DR portfolios. Map and optimise workflows, processes, and data flow across operations, PDAs, DCs, and internal systems. Develop portfolio segmentation frameworks and performance dashboards across mandates. Analyse payment behaviour, yield trends, reinstatement patterns, and termination economics. Provide strategic intelligence to improve collections performance, reduce exceptions, and drive consistent execution. Translate analytical findings into actionable operational and financial strategies. Job Experience and Skills Required: Education: Degree in Mathematics, Statistics, Data Science, Actuarial Science, or similar (minimum NQF7) Experience: 23 years experience in data analytics within financial services Strong commercial awareness in collections, debt review, or unsecured lending Proven experience in predictive modelling and strategy-driven analytics Experience translating analytics into operational and financial action Understanding of DR lifecycle, NCA processes, PDAs and DC behaviour (advantageous) Skills: SQL (advanced) Python/R (modelling & statistical packages) SAS (advantageous) Data visualisation (Power BI / Tableau) Advanced Excel for financial modelling Workflow and process optimisation Strong communication and stakeholder influence Non-negotiables: Ability to model, diagnose, and optimise complex DR workflows Commercially minded with strong quantitative and analytical depth Ability to own DR insights end-to-end and influence senior decision-makers Apply now! For more exciting Finance vacancies, please visit: