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
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
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
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
(Related under-graduate studies - 2 days per module on 1st attempt) (Related post-graduate studies (CTA) (Related under-graduate studies - 2 days per module on 1st attempt) (Related post-graduate studies (CTA)
discipline (Mathematics, Applied Mathematics, Statistics, BMI, Actuarial Sciences, Engineering, etc.)
discipline (Mathematics, Applied Mathematics, Statistics, BMI, Actuarial Sciences, Engineering, etc.)
and analyze income statements. Review monthly statistical reports and Group charges, including handling handling Group VAT submissions. Prepare Quarterly Statistical Reports for STATS SA. Manage year-end audits and
tracking, and analysis methods. Applying core statistical techniques and metrics in experience management
information and assessments of risk Analysing statistical data Reviewing advisor-submitted applications