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MASCO Code
2121-11
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Actuary
STEM
Actuary uses math and statistics to estimate the financial impact of uncertainty and help clients minimize risk.
Alternative Names
Valuation Actuarie
Actuarial Executive
Chief Actuary
Tasks
managing the programmes and activities for collection, processing, analysis reporting and dissemination of data in macroeconomic, trade, population, demography, labour, environment and other fields that are required from time to time for development planning and administration of the country
performing tasks related to demographics, statistics and research information, insurance matters, compensation and social security and trust law matters, provident fund and pension fund schemes
advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences
conducting logical analyses to resolve Management problems, especially in terms of input-output effectiveness: formulating mathematical models of each problem, usually for programming and solution by computer.
  • K
    Financial And Insurance /Takaful Activities
  • G
    Wholesale And Retail Trade, Repair Of Motor Vehicles And Motorcycles.
  • M
    Professional, Scientific And Technical Activities
  • C
    Manufacturing
  • D
    Electricity, Gas, Steam And Air Conditioning Supply
  • 0311
    Economics
  • 0541
    Mathematics
  • 0542
    Statistics
Skills
Basic
Active Listening
Proficiency in giving full attention to what other people are saying, taking time to understand the points being made and asking questions as appropriate.
Critical Thinking
Proficiency in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. 
Mathematics
Proficiency in using mathematics to solve problems.
Decision Making
proficiency in choosing between two or more alternatives.
Reading Comprehension
Proficiency in understanding written sentences and paragraphs in work related documents.
Specific
Data Analysis
proficiency in inspecting, cleansing, transforming and modelling data to get useful information, suggesting conclusions and supporting decision-making.
Analytics
ability to deconstruct information into smaller categories in order to draw conclusions.
Data Entry
proficiency in entering information into a computer or data-recording system using an electronic or mechanical device.
Data Visualization
proficiency in representing of data or information in a graph, chart, or other visual format.
Data Mining
proficiency in discovering patterns in large data sets involving methods at the intersection of machine learning and statistics.
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