visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of experience advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
Analytics/Data • Science/Modelling/Statistics • Programming and statistical computer languages (R, Python management and organisational skills • Knowledge of statistical modelling and data mining techniques i.e. Regression network analysis etc. • Querying databases using statistical computer languages i.e. R, Python, SQL, • etc
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
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
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. Excellent patterns, and relationships within the data. Apply statistical techniques and data visualization methods to
Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field. Progress towards actuarial
Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field. Progress towards actuarial
profitability. Technical Skills or Knowledge Technical / Statistical skills Leadership skills Data management skills degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics
Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience for data analysis and scripting. Knowledge of statistical analysis techniques. Familiarity with data modeling