I have been trying to get in roots with the “SCIENCE” part of
Actuarial Science. Actuarial Exams are absolutely loaded with material on “probability”
and entailing Loss Models but the world has now moved on to bigger things like
Big Data and GLMs, Extreme Value Theory and Solvency II (it’s probably all they
can tweet about).
It’s all the more important to get the amassed knowledge accounted
for and get our facts straight but I think it’s equally important to develop
our tool kit and use technology at our aid. This is the part that excites me
the most and while for the past few months I have been trying to get hands on
practice at probability models, model fitting, and some quantitative finance
related mathematics, everything while using MAPLE 18 at my aid.
However, usually in my ambition I don’t get much done but rather lose
track and go off on a tangent.
