Credit Analyst Impairments & Analytics

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

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

(e.g., education, skills) 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 information and quickly adapt to a 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, work

• Part-time role based in This Job is Remote Summary Date Posted.
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