responsible for leveraging quantitative techniques, statistical analysis, and financial modelling to support Bachelor's or Master's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong Strong proficiency in quantitative analysis, statistical modeling, and financial mathematics. Proficiency
Planning to join our team as a Planning Intern. This internship program is designed to provide hands-on experience
Reporting and statistics (shipment report, export report, shipment statistic, export statistics) Assisting
stakeholders. Reviewing statistics and providing recommendations on new/enhanced statistical methodologies as well as recommendations on improvement to the statistical forms and financial returns. Requirements: CA
stakeholders. Reviewing statistics and providing recommendations on new/enhanced statistical methodologies as well as recommendations on improvement to the statistical forms and financial returns. Requirements: CA
the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
Requirements include: Degree in Computer Science, Statistics, Mathematics, or a related field Proficiency data mining, machine learning algorithms, and statistical modeling Strong analytical and problem-solving
of Personal Information Act (POPI Act), Act 3 of 2013, and by submitting their personal information to
primary function involves developing and reviewing statistical models that quantify financial risks. In addition Education Honours or Masters degree in Mathematics, Statistics, Quantitative Finance or a related field Job credit risk role Knowledgeable about current statistical approaches and practices in the area of credit