A leading insurance company is looking for a Statistical Data Scientist to join their team in Johannesburg
preparation of Data
need to ensure through the use of cutting-edge statistical analysis that the intellectual property of the of risk analysts to apply best practices in statistical analysis and credit risk management. Complete address important business questions. Using statistical methods, forecast and track market trends Assist analytical and problem-solving skills Knowledge of statistical & Mathematical models Interpretation of analysis degree or higher in Mathematics, Engineering, Statistics, Economics, Actuarial Science or Finance (CA(SA)
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Ability to interpret statistical info and to produce statistical reports
Ability to interpret
Matric Ability to interpret statistical info and to produce statistical reports Ability to interpret
Matric Ability to interpret statistical info and to produce statistical reports Ability to interpret
team. All stellar Bcom, Mathematics, Physics, Statistics and Finance Qualified individuals are welcome analysis and preparation of Data Recalculation of Statistics Requirements: 3 - 5 Years or relevant experience programming languages. Bcom, Mathematics, Physics, Statistics and Finance FAIS Compliant Representative APPLY
team. All stellar Bcom, Mathematics, Physics, Statistics and Finance Qualified individuals are welcome analysis and preparation of Data Recalculation of Statistics Requirements: 3 - 5 Years or relevant experience programming languages. Bcom, Mathematics, Physics, Statistics and Finance FAIS Compliant Representative APPLY
role, you will conduct risk analyses and use statistical models to predict potential investment outcomes assessments and analysis Develop and maintain statistical models to predict investment outcomes Provide knowledge of actuarial formulas, tables, and statistical packages Strong analytical and numerical skills of insurance legislation Bachelor's degree in Statistics, Mathematics, Finance, or related field Additional
the development and review of often complex statistical models used to quantify financial risks. The quantitative backgrounds, including mathematics, statistics, engineering and actuarial. As a Senior Credit SKILLS REQUIRED: Understanding of contemporary statistical techniques and practices in credit risk modelling discipline such as Quantitative Finance, Mathematics, Statistics or equivalent. Minimum 2 years of relevant experience