The Department of Statistics is pleased to announce its new PhD program in Mathematical Finance and Actuarial Science. The program is built on the strong and diverse research agenda of the department and the continuingly growing demand from both industry and academia for PhDs who have solid quantitative training in probability and statistics as it pertains to finance and insurance.
To meet this demand, our new 4 year program trains students at the interface of probability, statistics, finance and insurance with a mixture of theoretical and applied courses. The program is accessible to students who have solid training in Mathematics, Statistics and /or Actuarial Science but students with degrees in Physics, Economics and Engineering are also encouraged to apply.
Our faculty members are experts in several aspects of Mathematical Finance and Actuarial Science and students can expect to work on research topics including:
- Applied stochastic control in finance and insurance
- Dividends and taxation models
- Financial insurance
- High frequency and algorithmic trading
- Homogenization and singular perturbation in finance and insurance
- Insurance loss Models
- Machine learning in finance
- Queuing models and fluid flows
- Real options
- Risk Theory
For more program information please see the PhD Program Information page or contact Prof. Sebastian Jaimungal, Associate Chair of Graduate Studies in Statistics (sebastian [dot] jaimungal [at] utoronto [dot] ca ).