Perform 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 Degree in Mathematics or Applied Mathematics
- Bachelor of Science Degree in Statistics or Actuarial Science
- Bachelor of Commerce Degree in Mathematical Sciences
- Bachelor of Commerce Degree in Economics
Experience
- 2- 3 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.
- Proficiency in statistical analysis software such as SAS, as well as experience with data visualisation tools like Power BI.
- 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.
Behavioural Competencies:
- Adopting Practical Approaches
- Embracing Change
- Establishing Rapport
- Following Procedures
- Interpreting Data
Technical Competencies:
- Quant Skills
- Risk Awareness
- Risk Identification
- Risk Management
- Risk Reporting
- Risk Response Strategy
- Verbal Communication
- Workflow Management