• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

Theory vs Application.

Joined
6/12/08
Messages
24
Points
11
Assuming I know for sure I want to be a quant developer. What are more important extra courses, the math or the programming skills (e.g. real-time and parallel/distributed techniques).

I'm asking because I want to take electives in software classes because I feel PhD's will develop the algorithms anyway. On the flip-side I don't want to get the shaft because the clock builder can also tell the time.

Also, should I go with math because it's harder to pick up after school (although just as easy to forget) or with the programming/technology courses that will allow me to hit-the ground running?
 
From top of my head, I would say look into numerical analysis type course.
They usually have a nice mix of math and implementation.

One great thing to do is to build up your set of tools(and hence a library) in either C++ or C# when you take such courses.
 
Back
Top