Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Perform in-depth statistical analysis on diverse data sets to derive actionable insights, leveraging both structured and unstructured data. Apply a range of analytical techniques to address complex business challenges. Collaborate closely with cross-functional teams to identify opportunities for data-driven decision-making. Utilise tools such as SAS and Power BI to visualise data and communicate findings effectively. Drive continuous improvement by translating analysis into tangible business outcomes.

• Completed Matric
• Bachelor of Science (BSc) Degree- Mathematics or Applied Mathematics
• Bachelor of Science (BSc) Degree - Statistics or Actuarial Science
• Bachelor of Commerce (BCom) Degree - Mathematical Sciences
• Bachelor of Commerce (BCom) Degree - Economics
• A tertiary degree in Mathematical Sciences, Actuarial Sciences, or Economics is required for this position

Experience
3 - 4 years
•    Experience in data analysis, preferably in the financial industry or risk management sector.
•    Proven track record of leading analytical projects to deliver actionable insights and drive business outcomes.
•    Advanced proficiency in statistical analysis software such as SAS, as well as experience with data visualisation tools like Power BI.
•    In-depth knowledge and experience in property risk and climate change risk management, preferably within the context of home loans portfolios.
•    Excellent communication skills, with the ability to effectively communicate complex analytical findings to non-technical stakeholders.
•    Demonstrated commitment to continuous learning and improvement, staying updated on emerging technologies, industry best practices, and regulatory changes relevant to risk management and data analysis.

Behavioral Competencies:

• Adopting Practical Approaches
• Checking Details
• Developing Expertise
• Documenting Facts
• Examining Information

Technical Competencies:

• Evaluating Risk Management Effectiveness
• Financial Industry Regulatory Framework
• Promote Good Governance, Risk & Control
• Risk Awareness
• Risk Identification