Executive Director in Goldman Sachs is a 25 year old kid??????

Quote from ASusilovic:

For those unaffiliated with the term "operational research" :

Operations research, also known as operational research, is an interdisciplinary branch of applied mathematics and formal science that uses advanced analytical methods such as mathematical modeling, statistical analysis, and mathematical optimization to arrive at optimal or near-optimal solutions to complex decision-making problems. It is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries.

And Stanford University is certainly NOT A BAD not to say an excellent place to graduate...

As expected isn't it?

Studying mathematics and statistics does not bring in money if you go work as academics or "just" field investigator for engineering and manufacturing firms.

As he studied OR in grad school, he is applying what he has learned and optimized his income in the shortest possible time.

=)
 
Quote from ASusilovic:

For those unaffiliated with the term "operational research" :

Operations research, also known as operational research, is an interdisciplinary branch of applied mathematics and formal science that uses advanced analytical methods such as mathematical modeling, statistical analysis, and mathematical optimization to arrive at optimal or near-optimal solutions to complex decision-making problems. It is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries.

And Stanford University is certainly NOT A BAD not to say an excellent place to graduate...

I have 2 advanced degrees in OR (Operations Research). The optimization approaches often revolve around linear programming - including dynamic programming, mixed integer programming and goal programming. Lots of cool stuff in this discipline including a ton of statistical analytic methods.
 
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