clients improved whole of business performance. Salary package negotiable and commensurate with skills
Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification at qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added advantage
Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification at qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added advantage
to analyse data and derive insights utilizing statistical and actuarial models to inform product development bachelor's degree in (Actuarial Science/Statistics/Mathematics) or equivalent qualification at NQF level
queries. • Honours degree in Mathematical Statistics or Applied Mathematics. • Other postgraduate qualifications qualifications with a numerical and statistical aspect and/or experience will be considered. • Min 4 - 6
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 Degree in Actuarial Science, or Statistics, or Advanced Diploma, or Mathematics, or relevant qualification Qualification in Actuarial Science, or Statistics or Mathematics at NQF Level 8 will be an added advantage
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 Degree in Actuarial Science, or Statistics, or Advanced Diploma, or Mathematics, or relevant qualification Qualification in Actuarial Science, or Statistics or Mathematics at NQF Level 8 will be an added advantage
good data analyses in a credit space
Salary up to R 50 000 pm - Hybrid role !!!!
Min Requirements
Degree in Mathematics, Statistics, Actuarial Science or BMI.
Experience:
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Information Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science Solid theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
actionable insights. - Development and maintenance of statistical models and algorithms for actuarial assessments Bachelor's Degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science or any analytical, mathematical/statistical, and problem-solving skills. - Proficiency in statistical software