With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
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Job Summary
To deliver accurate Retail impairment forecasts and develop robust models and analytics that support scenario analysis, stress testing, and data-driven decision-making for the Retail business.Job Description
Contract Type: Fixed-term (8 months)
Key Accountabilities
Impairment, Provisioning and Modeling (80%)
Impairment and Provisioning. Involves the delivery of accurate projections of the Bank's Retail Impairment provision and the development of robust econometric.
Impairment Review & Update-IFRS 9 & FIA. Perform impairment calculation on the portfolio.
Collect relevant customer data from bank’s internal MI systems in order to run the impairment & provisioning models.
Communicate impairment & analytic results to both technical and non-technical audiences, using Microsoft Excel worksheets and PowerPoint presentations
Understanding business questions and formulating data analysis and modeling problems.
Prototyping data-driven predictive models and data analysis models.
Support the Retail Credit team by providing relevant and timely analysis for current projects and ad-hoc queries.
Data Analysis, Forecasting and Modeling of Portfolio Performance Statistics (20%)
Analyse and interpret both Performance and Applications data relating to Credit Risk processes
Provide analysis to support with business-as-usual activities such as Credit Risk strategy changes
Continuously strive to improve Absa decision support systems
Preferred Education
Bachelor’s degree in Quantitative or Mathematical Economics, Statistics, Data Analytics and Analytical Finance or a related field from an accredited University
Preferred Experience
3 – 5 years working experience in a similar role preferably in a financial institution.
Knowledge
Strong IFRS knowledge and strong experience in econometric modeling or risk forecasting
Experience in performing data analysis utilizing a standard statistical package such as SAS;
High level of modeling in MS Excel, ideally with experience in manipulating large data sets
Strong knowledge of portfolio dynamics and Credit Risk and credit portfolio life cycle dynamics.
Understanding of portfolio and sub-portfolio modelling practices and model performance measures.
Proven knowledge of analysing and interpreting data using statistical models and manipulating data using relevant programmes such as SAS/SQL.
Skills:
Strong communication skills and the ability to communicate complex concepts effectively at all levels.
A self-motivating team player who is able to define structure and prioritize work in order to complete assigned tasks on schedule in a timely and cost effective manner
Passionate about data analysis and how this contributes to the business
Ability to assimilate new information and quickly adapt to a new environment.
Self-starter who naturally assumes ownership of initiatives
Excellent planning & organization skills
Strong ability to view issues from a risk & control perspective
Ability to work well under pressure, working accurately with attention to detail, and meeting deadlines
Education
Higher Diplomas: Business, Commerce and Management Studies (Required)