KTP Associate in Computer Science
University of Loughborough Department of Computer Science
United Kingdom

Job details
Job title

KTP Associate in Computer Science

Job reference: REQ190588

Date posted: 04/07/2019 Application

closing date: 16/08/2019

Location; London

Package Salary will be £30,000 - £50,000 per annum, (inlcuding London weighting), at a starting salary to be confirmed on offer of appointment.

The successful applicant will also receive a £2,000 per annum training budget.


Job description

Department of Computer Science Satoshi Systems Limited

KTP Associate in Computer Science and Machine Learning for Financial Risk Analysis

Project Title: Machine Learning and data analysis for risk assessment and prediction in commodity supply chain.


This is a 24 month KTP (Knowledge Transfer Partnership) project between Loughborough University and Satoshi Systems. The objective of this project is to use data and explore data science and machine learning technology to build analytic tools and classification and predictions models for credit rating of commodity traders and supply chain disruption/risk forecasts. Tasks will include data pre-processing, statistic analysis, identifying performance indicators and matrices and developing robust machine learning based classifiers and predictive models.

We are looking for a highly motivated individual ideally in possession of practical experience in machine learning, data science, statistics, data analytics or related subjects. The candidate should have a PhD or MSc degree (or equivalent) in these fields. Programming skills in e.g. C++/Python/SQL and ML tools/API are desirable. Experience in deep learning, database applications, SQL, cloud-based database and computation, finance data analysis will be beneficial.

The KTP Associate will be based primarily at the Company premises in Canary Wharf, London, but will also spend some time at Loughborough University.

This is a re-advertisement and previous applicants need not re-apply.

Informal enquiries should be made to Prof Qinggang Meng (Academic Supervisor) Q.Meng@lboro.ac.uk or Dr. Baihua Li b.li@lboro.ac.uk

Application Closing Date: 16 August 2019

Interviews will be held on week commencing 2 September 2019

Please follow this link for further details


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