Education: MSc in Mathematical Modelling and Scientific Computing and DPhil in Mathematics (Oxford)
Part of the appeal of working at Marshall Wace for me is the wide scope of projects available to us right from the start, from exploring novel datasets and signal construction methods to portfolio construction and implementing realistic trading logic. This has enabled me to understand how financial markets operate at scale and what it takes to trade fully systematically, all the way from idea generation to actual trades.
Compared to my time in academia, the work we do here is guaranteed to be highly relevant and often has a direct impact on our live codebase and trading systems, providing a quick feedback loop via the markets. Being able to do this work in a collaborative environment with smart colleagues is the icing on the cake.