Job Purpose The Credit Risk Collections team is responsible for the development and implementation of Collections Strategies, tracking and optimizing the strategies to make sure that they are relevant and effective.
The aim is to minimize credit losses by guiding the Collections activities in the Operations space through data and insights.
to make sure that the right treatment is given to the right customer, in turn making sure that the resources are used optimally.
Areas of responsibility may include but not limited to Collections Strategies Optimisation
Propose New Strategies based on review of existing strategies through in-depth analytics to identify opportunities. To make sure that Operations is focusing on the correct delinquent accounts.
Validation of excisting and newly rolled out strategies to ensure the system is executing the strategies ans inteded.
Create and maintain forecast models for future bad rates.
Building of propensity models that will predict future outcomes.
Design champion challengers and ad-hoc analyses to support strategy optimization Operations Optimisation
Develop MI that enables an optimal measure of the Operations areas (including external vendors) by using scientific measures that drive high Collections yields.
Setting of targets and KPI’s in line with Impairment budgets.
Use data-orientated approach to assist Operations with capacity planning. MI and Reporting
Prepare monthly performance review deck for senior management.
Provide in-depth analysis focused on unpacking any concerning trends observed and recommendations on the possible solutions.
Preparing of Regulatory Reports. Stakeholder Engagements
Engage with IT on issues relating to system incidents, implementation of new strategies etc.
Engage with Operations and EDC’s on performance and guidance around where focus is required and capacity planning, and implementation of changes where required.
Personal Attributes and Skills
Resourceful and tenacious.
Focused on driving results.
Organised and process oriented; ability to multi-task and manage time effectively.
Ability to convey complex data in a concise understandable manner and distil the key messages.
Strong problem-solving skills.
Ability to work effectively across varying levels of Management and multi-disciplinary teams.
Good and clear written style.
Strong verbal and written reporting skills.
Quantitative / qualitative analytical skills. Education and Experience
Numerate Degree (Bsc, B Bus Sci, B Eng.)
Programming capabilities in SAS / R / Python / VBA / SQ.
Minimum 2 years’ experience analytical experience on a consumer portfolio (credit cards, loans), preferably within Credit Risk Space.
Experience in data manipulation and application of statistical tool like SAS and SQL.
Retail banking experience
Strong track record of professional performance
Skilled in Microsoft products, particularly PowerPoint, Word, Excel and Access