Hello All,
I'm a recent PhD in theoretical physics (in fact, got it last year) and now I'm working as a post-doc researcher. As the title suggests I'm planning to break into the finance world. I just want to know what the odds are for me and that's why I'm posting here. This is my first post as you can see but I wish I had discovered this forum earlier. Without further ado let me briefly describe what pertinent skills and knowledge I have:
- Seven years of quantitative research experience (undergrad + grad school and postdoc).
- Intuitive understanding of stochastic calculus and its application to finance.
- Numerical calculation and simulations with C++
- Probability theory, pricing and hedging withing the Black-Scholes framework.
So, I told my boss the idea of leaving physics recently, and he gave me a project that has implications to finance (I have a lot of respect for him since). Part of the project involves writing a Markov Chain Monte Carlo algorithm to estimate the distribution of the return of an asset with arbitrage modeled as quantum fluctuations. This has been shown to produce the "fat tail" distribution produced in real markets. I have already written most of the code in two weeks using C++ giving expected results.
So my question is, how do I maximize my chances from here?
I'm a recent PhD in theoretical physics (in fact, got it last year) and now I'm working as a post-doc researcher. As the title suggests I'm planning to break into the finance world. I just want to know what the odds are for me and that's why I'm posting here. This is my first post as you can see but I wish I had discovered this forum earlier. Without further ado let me briefly describe what pertinent skills and knowledge I have:
- Seven years of quantitative research experience (undergrad + grad school and postdoc).
- Intuitive understanding of stochastic calculus and its application to finance.
- Numerical calculation and simulations with C++
- Probability theory, pricing and hedging withing the Black-Scholes framework.
So, I told my boss the idea of leaving physics recently, and he gave me a project that has implications to finance (I have a lot of respect for him since). Part of the project involves writing a Markov Chain Monte Carlo algorithm to estimate the distribution of the return of an asset with arbitrage modeled as quantum fluctuations. This has been shown to produce the "fat tail" distribution produced in real markets. I have already written most of the code in two weeks using C++ giving expected results.
So my question is, how do I maximize my chances from here?
