Quantitative research
Our quantitative research teams work with and analyse large noisy data sets, seeking patterns among lots of noise and taking data from the real world and trying to extract underlying facts, causes and effects. Techniques such as time series analysis, probability theory and regression analysis are regularly used.
Experimental Physicist PhD, Cambridge
"Gloucester Research has a very high intellectual calibre of people where everybody contributes with a great mix of technical ability and hands-on, can-do attitude. I love the bottom line in finance: at the end of the day, either money has been made or it hasn't."