Machine Learning Scientist (KTP Associate) (1343) - Kingston University London

This is a unique and exciting opportunity, supported by Kingston University academics and based at Instinet, a leading global broker of equities, in London. This KTP project will develop and deploy innovative machine learning techniques for trading execution performance and monitoring. You will have primary responsibility for the application of these techniques, to deploy machine-learned products to improve the execution performance of equity trading, and machine-learned tools to monitor this performance. You will also have responsibility for authoring reports and academic publications that describe aspects of your work, and the potential impact for Instinet and its clients. You will be working alongside another KTP Associate, employed as a Systems Architect.