Business Segment: Group Functions
Location: ZA, GP, Johannesburg, 30 Baker Street
Job Type: Full-time
Job Ref ID: 80273305A-0001
Date Posted: 8/5/2025
Job Description
To develop, apply and enhance specialist techniques and mathematical / statistical models, such as time series forecasting, regression analysis and multivariate statistics, to evaluate past and current financial performance, forecast trends, identify opportunities, anticipate risks and enable effective decision-making for Standard Bank Group. Optimise forecasting and scenario analysis capabilities and collaborate with Finance technology to define and build the required technical architecture.
Qualifications
Type of Qualification: First Degree
Field of Study: Information Studies, Mathematical Sciences, Quantitative Studies
Experience Required
Financial Insights & Analytics
Finance & Value Management
8-10 years Experience with applying statistical techniques to solve business problems.
Experience with MS Office (Word, Access, Excel, PowerPoint, Outlook) required. Experience with programming languages such as Python, DAX or similar required. Experience with R would be beneficial. Practical experience in enterprise wide or business unit specific risk model development. Experiences with applying statistical techniques such as regression, ANOVA, cluster analysis, factor analysis, time series forecasting.
Additional Information
Behavioural Competencies:
Adopting Practical Approaches
Checking Things
Developing Expertise
Documenting Facts
Empowering Individuals
Examining Information
Exploring Possibilities
Meeting Timescales
Providing Insights
Taking Action
Team Working
Upholding Standards
Technical Competencies:
Continuous Process Improvement
Data Compliance
Data Quality
Financial Accounting
Financial Acumen
Financial Analysis
Financial Planning
Process Governance
Promote Good Governance, Risk & Control
Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or [email protected]
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