• Stake holder Engagement / Management – 50% • Liaise with the relevant risk management stakeholders in order to identify and manage the objectives of collection strategies to drive risk management; • Liaise with the relevant collection operations stakeholders to manage strategy execution and success; • Liaise with the relevant compliance and regulatory bodies to ensure adherence legislation and policies • Manage and set expectations for the outsource collections model • Manage strategy by reporting on benefit or impact of these changes to the business • Liaise with the CVM capability team to ensure that the strategy is correctly implemented and that the timelines are within acceptable standards • Strategy Development & Implementation – 30% • Strategy • Develop data driven collection strategies within the Retail Customer Value Management (CVM) team; • Develop detailed strategies that address the entire collection life-cycle; • Develop several alternative campaign strategies based on an analysis of the data and seasonal/point in time scenarios that will affect portfolio performance • Innovation / New Capabilities • Identify new collection opportunities to enhance collection strategies i.e. payment capability, reminders, engagement, channels; • Seek better ways of reporting and changing collection strategies • Implementation • Drive implementation of strategies using decision capability (Triad or ASAP) • Have a good understanding of the collections environment where strategies will be executed • Data Analytics – 20% • Data • Consolidate the data in a logical manner such that it is analytically ready for Statistical Analysis Software (SAS) • Identify any data anomalies or trends and investigate possible causes • Identify external data sources that can enhance internal performance view and support strategies • Measurement • Produce detailed periodic reports that will track strategies against agreed Risk measurement performance metrics (performance, success and industry); • Participate in defining operational metrics to measure efficiency to defined Collection strategies;

• A Degree in Business or Mathematics or Statistics or Operational Research or Industrial Engineering or Risk Management or equivalent NQF level 6 or higher qualification • 3 years’ experience is required, in data analysis utilising a standard statistical package such as SAS,SQL • 1 year experience in SAS Advanced programming for statistical analysis and manipulation of very large data sets • Advanced computer literacy especially the Microsoft Office suite of programmes (MS Word, MS Excel, MS PowerPoint) (1+ years) • Intermediate skills in Structured Query Language ( SQL) • Analytical and numerate • Communication and presentation skills • Inter-personal skills • Knowledge, Expertise and Experience • SAS Programming • Problem Solving • A strong understanding of key credit risk metrics • Communication – verbal & written • Microsoft Office • Project Management experience • User Acceptance Testing required • Competencies: • Deciding and initiating action • Relating and networking • Persuading and influencing • Applying expertise and technology • Analysing • Planning and organising • Adapting and responding to change • Entrepreneurial and commercial thinking • Education • Higher Diplomas: Business, Commerce and Management Studies (Required)