The field of Mathematics has abundant job roles to offer for skilled professionals. The technology today is mainly due to the advancement of the mathematics field. Since mathematics forms the basic foundation for the technology, there is a huge requirement of skilled mathematics professionals at the foundation level across different sectors of economy.
Let’s discuss some of the important and crucial job roles available in the field of Mathematics:
1. Actuarial Analyst
A career like actuarial analyst is best suited for the students who have strong mathematical ability and are good at problem solving and analysing the data.
Role of an Actuarial Analyst
As an actuarial analyst, one will use statistical formulas to assess the risk in life insurances. The role involves working out the average life expectance of different demographics and determine the policy premium for the policies taken by the customers.
Responsibility of an Actuarial Analyst
As an Actuarial Analyst one is required to:
- Understand and use complex mathematical formulas particularly that are related to areas of advanced statistics and modelling
- Use spreadsheets or other specialised software to complete data analysis tasks
- Provide technical support to a team of actuaries, producing statistical reports and analysis
- Prepare reports on the basis of computational results and publish them for internal and external communications
How much do the Actuarial Analyst earn?
- The fresh graduate of B.Sc Mathematics will earn around 4 lakhs to 6 lakhs per annum as an Actuarial Analyst.
- The experienced Actuarial Analysts will be easily earning around 6 lakhs to 8 lakhs per annum
2. Research Mathematicians
Research Mathematicians conduct original research which can be used to further develop understanding of complex numbers and applied business to improve performances and solve challenges.
Role of a Research Mathematician
The work of a research mathematician is varied. It often involves proving deep and abstract theorems, developing mathematical descriptions to explain or predict real phenomena and applying mathematical principles to identify trends in data sets.