This is an exciting and challenging opportunity for an ambitious graduate, 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 lead the development of infrastructure and capabilities 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 Machine Learning Scientist.
This position is a 32-month fixed term contract, offering a generous salary, defined-benefit pension as well as a £2k per annum dedicated training budget tailored towards your personal development.
What we are looking for
The ideal candidate will have gained (or be excited to gain) experience of iterative design, development and operation of real-world systems with complex business logic and multiple deployment platforms; ability to translate complex business requirementsinto a prioritized schedule of technical work; experience in creating user interfaces, preferably in a technical domain, that are engaging and designed in a way to encourage and support their use and ability to successfully integrate different technical components to create an overall system.
About KTP: This position forms part of a Knowledge Transfer Partnership (KTP) funded by Innovate UK. It’s essential you understand how KTP works with businesses and the University, and the vital role you will play if you successfully secure a KTP Associate position. For more information please visit: www.ktponline.org.uk
You will have a BSc (minimum of 2:1) in a subject with significant mathematical content plus MSc in mathematics, computer science or a closely related subject. And possibly a PhD in similar subjects.
Accepted degree subjects
- computer sciences and IT
Additional job details
- South West England
- Contract, dates and working times
- Fixed term
How to apply
Interviews: w/c 11th or w/c 15th November
If you have any questions please email: firstname.lastname@example.org
Click Apply to start your application now. This job will be available on Prospects until 31 October 2019
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Closing date: 31 October 2019