A top insurance provider is seeking a Statistical Data Scientist to join their team at their offices insights and recommend appropriate actions through statistical modelling and data analysis. Remuneration modelling Key Requirements: Degree in Actuarial Sciences, statistics, business sciences, business Mathematics. (Other degrees or Postgraduate qualifications with a statistical/modelling aspect and/or experience will be considered CT’s and CA1. Minimum 2 years’ experience in statistical modelling/ analytical role Experience in Modelling
A leading insurance company is looking for a Statistical Data Scientist to join their team in Johannesburg
this role based on experience This is a paid internship with benefits. The contract is 2 years but there
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)
management, verification, and gathering. Using statistical Modeling and data analysis Get insights and suggest Science, Statistics or Mathematics (Other degrees or postgraduate qualifications with a statistical/modelling considered) Minimum of 2 Years experience in Statistical Modelling or Analytical Based Role Minimum of
various learning programmes (In -service Training, Internship/Graduates, Exchange Programme, external Bursars
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
and manage key demand planning statistics Develop and implement statistical and modelling tools to forecast forecast demand, using statistical inputs and input from Commercial teams to test and refine forecasts (domestic planning statistics and provide feedback and recommendations Develop and implement statistical and modelling
into statistical forecasting. Statistical forecasting: Analyse and assign appropriate statistical models models and parameters to enrich statistical forecasts in order to generate accurate base line forecasts ideally in Supply Chain, Engineering, Commerce, Statistics & Mathematics or Other Sciences A Minimum
Qualification: Mathematical / statistical background e.g. B.Sc. Mathematics / Statistics /Actuarial Science /