- Joined
- 11/6/14
- Messages
- 5
- Points
- 11
Hello All,
Quick background, I'm an actuary; I specialised in investment by selecting the investment specialisation. I currently work at an insurer and wish to side step into IB, quant finance and risk management.
I currently have 2 offers on the table and need help deciding:
- ALM actuary at a health insurer in europe that is in need of building an alm function from scratch. So that'll involve a lot of liability driven investment decisions, plenty of derivative pricing and portfolio risk measurement. Finding capital to support business, hedging libabilities with assets etc.
I'll seemingly be building most of that function from scratch and will be managing.
- Hedging and ALM developer at a software company. The company provides insurers with software to help ALM practices, evaluate hedge effectiveness, simulate hedge performance and value assets and derivatives. It is entirely C++ so I'd be developing software to do nested stochastic on stochastic simulation for dynamic hedging strategies in parrallel computing.
The first option appears to be much closer to the industry, I'd be working with IBs and the actual market. The second is far more development focused and removed but much more technical and would provide the C++ experience, additionally I'd be working with a team (quant team) full of PhDs who work to provide closed form solutions for new derivatives and new low discrepency series algorithms.
Any thoughts?
Quick background, I'm an actuary; I specialised in investment by selecting the investment specialisation. I currently work at an insurer and wish to side step into IB, quant finance and risk management.
I currently have 2 offers on the table and need help deciding:
- ALM actuary at a health insurer in europe that is in need of building an alm function from scratch. So that'll involve a lot of liability driven investment decisions, plenty of derivative pricing and portfolio risk measurement. Finding capital to support business, hedging libabilities with assets etc.
I'll seemingly be building most of that function from scratch and will be managing.
- Hedging and ALM developer at a software company. The company provides insurers with software to help ALM practices, evaluate hedge effectiveness, simulate hedge performance and value assets and derivatives. It is entirely C++ so I'd be developing software to do nested stochastic on stochastic simulation for dynamic hedging strategies in parrallel computing.
The first option appears to be much closer to the industry, I'd be working with IBs and the actual market. The second is far more development focused and removed but much more technical and would provide the C++ experience, additionally I'd be working with a team (quant team) full of PhDs who work to provide closed form solutions for new derivatives and new low discrepency series algorithms.
Any thoughts?