Standard Bank Group is the largest African banking group by assets offering a full range of banking and related financial services. "Africa is our home, we drive her growth” Our vision is to be the leading financial services organisation in, for and across Africa, delivering exceptional client experiences and superior value. 

Job Description

Lead and oversee the Scored Lending portfolio by managing credit risk, portfolio performance, and policy adherence within the Bank's risk appetite. Prepare and deliver high-quality credit risk and portfolio reporting to management and governance committees. Drive data-driven decision-making through continuous monitoring of portfolio trends, risk indicators, and emerging risks to support sustainable growth.

Qualifications

Type of Qualification: First Degree

Field of Study: Statistics, Mathematics, Actuarial Science, Economics, Finance, Data Science, Banking, Accounting, Computer Science, or a related quantitative discipline.

Experience Required

• 5-7 years
• Credit Data Analytics within consumer banking.
• Experience in (preferably Digital consumer credit) data exploitation and business intelligence development and implementation
• Experience in the extraction, transformation and visualisation of data using bank approved toolsets e.g. SQL/SAS/Python/PowerBi

Additional Information

Behavioural Competencies:

• Articulating Information
• Documenting Facts
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Managing Tasks
• Providing Insights
• Team Working

Technical Competencies:

• Data Management
• Evaluating Risk Management Effectiveness
• Risk Awareness
• Risk Management
• Risk Reporting
• Statistical & Mathematical Analysis

• Lead and oversee the Scored Lending portfolio by managing credit risk, portfolio performance, and policy adherence within the Bank's risk appetite.
• Prepare and deliver high-quality credit risk and portfolio reporting to management and governance committees.
• Drive data-driven decision-making through continuous monitoring of portfolio trends, risk indicators, and emerging risks to support sustainable growth.

• Credit Data Analytics
• Data exploitation
• Business intelligence development and implementation
• Extraction, transformation and visualisation of data using SQL/SAS/Python/PowerBi
• Data Management
• Evaluating Risk Management Effectiveness
• Risk Awareness
• Risk Management
• Risk Reporting
• Statistical & Mathematical Analysis
• Articulating Information
• Documenting Facts
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Managing Tasks
• Providing Insights
• Team Working

• First Degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Data Science, Banking, Accounting, Computer Science, or a related quantitative discipline.