QUOTE(BenMO @ Sep 1 2014, 09:25 PM)
My areas of interest are calculus, geometry, trigonometry and to some degree linear algebra. To be honest, I'm not hundred percent sure about statistics and probability which actuarial math is mostly all about. Besides, I am not sure about the business and finance sides of it either. I took two econ courses this summer; although I managed to pass them with excellent marks, I did not like them at all. This have made me to think even more if actuarial math would be a good choice for me. In addition to all these, the job market is not as broad as the engineering job market. Am I right?

a lot of actuaries are terrible at Maths (also see comment below). even actuaries will acknowledge that PDEs and SDEs are not natural to their thinking, rather that is the domain of physicists and mathematicians.
majority of actuaries will never use geometry, trigonometry, linear algebra in practice. there are exceptions to this. those who do investment modelling (rare) might use some matrix algebra in optimisation. some will do curve fitting in life insurance (survival models) and this would entail some heavy calculus. those in reinsurance (especially general reinsurance) might do heavy modelling, which means difficult equations and statistical software, and maybe stochastic models. but it must be stressed that most actuaries you will ever meet never come close to touching these, because insurance belongs to financial services, it is a business discipline. actuaries need formula to model reserves, liabilities, and to price risk, but for business reasons it cannot be the most complicated version every time. even the actual probability and stats used in practice is often simplified (how many actuaries use stochastic models which aren't automated or pre-programmed, and how much of the mathematical techniques learnt in school is ever used).
actuaries (in traditional practice) look at cashflows. then they consider factors which affect the size and timing and probability of occurence of the cashflows. you have some modern trends which are derivatives, energy, enterprise risk management, which are a bit different.
QUOTE(tkhin @ Sep 4 2014, 12:37 AM)
since your in canada, see if your uni has programs in financial engineering/quantitative finance?
ie developing pricing models for derivatives etc..
If you are interested in modeling , an actuarial degree does not really prepare you for real modeling work...
Example of standard literature:
"Managing Smile Risk" by Hagan et. al.
If this literature piques your interest ie understanding and then implementing it in a Object oriented language of your choice ie C++, then actuarial science is not enough..
true that. majority of actuaries are not mathematicians, and most aren't even statisticians (don't count the lecturers and academics with their MScs and PhDs). some actuaries work as quants, i'm not completely sure how they managed to do it, i'm assuming they were very smart to begin with. there are some people who start with a Bachelor's in Act Sci and move on to an MQF or Comp Finance graduate degree.