I am working with a $4bn systematic hedge fund with a trend following strategy at its core and upwards of 10 years of successful track record. The fund is doing well and looking to reflect their recent growth in AUM (and P&L) with growth in their research team. They are looking to add an experienced researcher to this small but highly competent team.
This research team is structured differently to many CTAs in that the researchers are highly integrated with trading and have portfolio management responsibilities as opposed to being at arms length from these functions. This allows researchers to be involved in the full life cycle of strategies from inception through to live trading.
The research team has a strong leaning towards scientific fields such as statistics, Engineering and physics rather than economics or finance.
As this is a small team the researchers are expected to be able to perform comprehensive implementation of their research in the simulation environment (python) and to work with the development team to assist with deployment. A background in an OO language and a good understanding of proper testing and deployment practices will be very useful.
Candidates should have at least a couple of years of experience researching directional futures strategies. Additional experience in other systematic research and trading roles may well be beneficial, particularly roles that had direct involvement of some of the trading/portfolio management.
Python is essential and an OO background highly advantageous.
Communication skills must be good as well as a desire to work collaboratively with trading and technology. This role would not suit a researcher looking for an ‘academic style’ environment.