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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 analyze Retail Credit portfolio performance and provide data-driven insights, forecasts, and management information to support decision-making across the credit lifecycle, including acquisition, exposure management, collections, and recovery.

Job Description

Contract Type: Fixed-term (8 months)

Key Accountabilities

Data Extraction, Manipulation and Statistical Analysis (80%)

Data Extraction, Manipulation and Statistical Analysis.

Data Analysis and Forecasting of Portfolio Performance Statistics.

Performing data analysis, forecasting, and generating both monthly and ad-hoc management information used by analysts and managers in Retail Credit and Management to manage our business.

Credit Data Requirements & Validate Data Integrity.

Review the Loan list of all borrowers and their product segmentation.

Run all portfolio performance tracking reports.

Validate data integrity and run parallel operations to cross-verify data accuracy.

Data Analysis: Forecasting and Modelling of Portfolio Performance Statistics (20%)

Analyze 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’s decision support systems.

Preferred Education

Bachelor’s degree in Commerce, Business Administration, Mathematics, Statistics, Economics or a related field from an accredited University

Preferred Experience

2 years working experience in a similar role preferably in a financial institution.

Knowledge

High level of modelling in MS Excel, ideally with experience in manipulating large data sets.

Strong IFRS knowledge and strong experience in econometric modeling or risk forecasting

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

Further Education and Training Certificate (FETC): Business, Commerce and Management Studies (Required)

• Data Extraction, Manipulation and Statistical Analysis.
• Data Analysis and Forecasting of Portfolio Performance Statistics.
• Performing data analysis, forecasting, and generating both monthly and ad-hoc management information used by analysts and managers in Retail Credit and Management to manage our business.
• Credit Data Requirements & Validate Data Integrity.
• Review the Loan list of all borrowers and their product segmentation.
• Run all portfolio performance tracking reports.
• Validate data integrity and run parallel operations to cross-verify data accuracy.
• Analyze 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’s decision support systems.

• 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

• Bachelor’s degree in Commerce, Business Administration, Mathematics, Statistics, Economics or a related field from an accredited University
• High level of modelling in MS Excel, ideally with experience in manipulating large data sets.
• Strong IFRS knowledge and strong experience in econometric modeling or risk forecasting
• 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.
• Further Education and Training Certificate (FETC): Business, Commerce and Management Studies (Required)