I am new to Wilmott forums and this is my first post. I am a CS undergrad, worked as a software programmer for 6 years and then a brief stint of 2 years as a risk analyst at a bank. My age is 33.

I enjoy studying probability - games and paradoxes and the proving things from first principles in analysis.

I enrolled myself for a open university BS Mathematics course and I am presently in the second year taking courses on :

- Vector calculus
- ODEs
- Real Analysis I
- Numerical methods
- Mathematical methods for Physics

*quantitative analyst*in the quant-strats team. The de-facto programming language within my bank for modelling is F#.

Upon initial discussion, they see me, becoming a modeller in the next 4-5 years, which was encouraging. I would rate myself a novice and an aspiring modeller.

To that end, I am self-learning math, to get the math fundamentals right off the bat, before studying probability & I am practising C++.

Would any gents and gals here have tips or advice on how I could further my career in quant finance, what courses/topics I should focus on? Is it possible to become a modeller without doing a PhD in mathematics?

Thanks all!