- Joined
- 11/5/14
- Messages
- 295
- Points
- 53
Hi guys,
I want to beef up my technical skills and I am hoping to be enrolled in an Applied Mathematics/Financial mathematics programme in October 2023. The work on my current job involves a mix of quant engineering (writing a framework/building a tool) and minor enhancements to models, for pricing simpler credit derivative products.
I had a lot of fun doing proofs in Analysis from Stephen Abbott's Understanding Analysis text. I also finished reading and working through the exercises in Steven Shreve Volume I - this was easy reading for me.
I can follow and work through the exercises in the book on Probability by Capinski, as I have some experience with analysis - doing epsilon-delta proofs, proving pointwise and uniform convergence, integrability.
Since time is finite, in the run-up to college, should I:
1) Follow through and continue working through the exercises in Capinski's book.
Or
2) Focus more on computational skills, self-teach and acquire green-belt/blue-belt skills in PDE and numerics for solving PDEs.
I understand that, both a strong probabilistic background and PDE-skills are important for a desk-quant.
Regards,
Quasar
I want to beef up my technical skills and I am hoping to be enrolled in an Applied Mathematics/Financial mathematics programme in October 2023. The work on my current job involves a mix of quant engineering (writing a framework/building a tool) and minor enhancements to models, for pricing simpler credit derivative products.
I had a lot of fun doing proofs in Analysis from Stephen Abbott's Understanding Analysis text. I also finished reading and working through the exercises in Steven Shreve Volume I - this was easy reading for me.
I can follow and work through the exercises in the book on Probability by Capinski, as I have some experience with analysis - doing epsilon-delta proofs, proving pointwise and uniform convergence, integrability.
Since time is finite, in the run-up to college, should I:
1) Follow through and continue working through the exercises in Capinski's book.
Or
2) Focus more on computational skills, self-teach and acquire green-belt/blue-belt skills in PDE and numerics for solving PDEs.
I understand that, both a strong probabilistic background and PDE-skills are important for a desk-quant.
Regards,
Quasar
Last edited: