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utilising data, machine learning, statistical and mathematical models to solve business problems
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial science, finance
Requirements:
12.Honours degree in Mathematical Statistics or Applied Mathematics.
13.Other postgraduate
postgraduate qualifications with a numerical and statistical aspect and/or experience will be considered.
A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Engineering Excel experience • Knowledge and experience in statistical/data management software packages (SAS/SQL) would advantageous • Experience with data mining and statistical techniques such as logistic regression, decision A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Engineering Excel experience • Knowledge and experience in statistical/data management software packages (SAS/SQL) would
A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Engineering Excel experience • Knowledge and experience in statistical/data management software packages (SAS/SQL) would advantageous • Experience with data mining and statistical techniques such as logistic regression, decision A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Engineering Excel experience • Knowledge and experience in statistical/data management software packages (SAS/SQL) would
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Proven large datasets efficiently. Experience with statistical analysis techniques and data modelling. Knowledge patterns, and relationships within the Apply statistical techniques and data visualization methods to technologies in data analysis. Expand knowledge of statistical analysis techniques, data modelling, and data
organization. Predictive Analytics: Utilize advanced statistical and machine learning techniques to develop predictive non-relational database systems. Statistical Analysis: Advanced knowledge of statistical methods, hypothesis testing Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or related field. Advanced degree
skills
engineering, data preparation, development of statistical models, strategy development, monitoring and