Analyst: Recoveries Strategy

Main Purpose To perform reporting, data analysis, forecasting and advanced modelling techniques to support the development and maintenance of Collections Recoveries strategies, minimising risk and optimising yields and activations across outsourced Collections, Debt Counselling, Legal and Post-write-off portfolios. KEY OUTCOMES Forecasting and tracking of key metrics Strategy Development and Monitoring Stakeholder Management Action Orientation & Delivery Self-Development Requirements TECHNICAL COMPETENCIES Collections & Recoveries Management Champion/Challenger Strategy Design Structured Query Language proficiency Packaging and presenting data insights Statistics and Modelling Methodologies Credit Industry and Market Knowledge BEHAVIOURAL COMPETENCIES Intellectual Curiosity continuous improvement, innovation and ability to deal with change Stakeholder Engagement collaboration, influencing and persuading Decision Making mental agility, analysing and interpreting Action Orientated results focus, determination to achieve and deadline driven Self-leadership initiating, planning and organising own deliverables Thinking attention to detail, focus on quality and integrity of output Team Player relating, networking and supporting colleagues QUALIFICATIONS Minimum: degree (3 years) ideally in the following discipline (Finance, Economics, Econometrics, Quantitative Analysis, Mathematics or Statistics) EXPERIENCE REQUIRED 2-3 years’ experience in performing data analysis utilizing a standard statistical package such as SAS or SQL is required.

Practical experience in using analytics to solve complex business problems would be advantageous Experience in working with various data sets as well as ability to establish data integrity and relationships. ADDITIONAL REQUIREMENTS Passionate about data analytics and how this contributes to the business. Proven ability to effectively communicate analytical insights and improvement recommendations.

Proven ability to work as a team player to ensure effective delivery of reporting, tasks, projects and any other related deliverables. High level of PC literacy, ideally with the experience in data cleaning and analysing large data sets using SQL server or similar environment; Python, R, SAS Proficiency in Microsoft Office (Excel, Word, PowerPoint etc.)

, ideally using macros. Ability to reason and package ideas and results in a logically ordered, understandable and practical way to both technical and non-technical audiences. Exceptional time management skills to be able to complete tasks effectively to deadlines and manage multiple tasks. Good communication skills, both written and verbal (including being able to run workgroups/meetings and minute-taking.

Closing Date: 29 July 2026