Markets. Education - Minimum: BSc/BCom in IT, Statistics, Accounting, Mathematics, Actuarial Science,
Science or Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification degree qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added
Science or Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification degree qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added
to analyse data and derive insights utilising statistical and actuarial models to inform product development research studies. Analyse, develop and validate statistical data - update actuarial forecasting models, refine A Bachelor's Degree in Actuarial Science, or Statistics, or Advanced Diploma, or Mathematics, or relevant Degree Qualification in Actuarial Science, or Statistics or Mathematics at NQF Level 8 will be an added
to analyse data and derive insights utilising statistical and actuarial models to inform product development research studies. Analyse, develop and validate statistical data - update actuarial forecasting models, refine A Bachelor's Degree in Actuarial Science, or Statistics, or Advanced Diploma, or Mathematics, or relevant Degree Qualification in Actuarial Science, or Statistics or Mathematics at NQF Level 8 will be an added
data queries. • Honours degree in Mathematical Statistics or Applied Mathematics. • Other postgraduate postgraduate qualifications with a numerical and statistical aspect and/or experience will be considered. • Min 4
validating data to enable quantitative analysis for statistical and modelling team. Explore data to understand experience would be beneficial. Data analysis tools. Statistical mythologies and possesses strong business acumen
or Master's degree in a related field such as Statistics, Mathematics, Computer Science Power BI,SQL experience Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to solve for defined
/>
utilising data, machine learning, statistical and mathematical models to solve business problems