|Salary:||Up to £32,862.18 per annum, plus £5,000 London allowance.|
|Placed On:||4th August 2022|
|Closes:||28th August 2022|
Fixed-term contract for 24 months, 40 hours per week (See Further Particulars section (available on the university's website, accessed by the apply button)for more detail.)
We offer an exciting opportunity for an ambitious graduate to manage a collaborative innovation partnership between The University of Warwick and SME Capital, a FinTech company that specialises in lending to the underserved market of Small and Medium Sized Enterprises (SMEs).
We are looking to recruit a graduate with a Masters or PhD in Mathematics, Computer Science, Physics, Engineering, or another quantitative subject, to undertake this 24-month project. The overall aim of this project is to apply expertise in data mining, machine learning, and data-driven modelling techniques to develop and commercialise a market leading technology product to improve the SME lending industry.
The position offers:
Based at SME Capital offices in central London, UK, the successful candidate will work directly with supervisors from both the University and SME Capital, and will use the facilities and resources of both organisations.
This post is part of the Knowledge Transfer Partnership (KTP) initiative funded by Innovate UK. Knowledge Transfer Partnerships is a UK-wide programme that has been helping businesses for the past 45 years to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base. If you want to apply your degree and experience, start a “real job” straight away and gain a professional qualification, then a Knowledge Transfer Partnership (KTP) is what you're looking for. For further information visit http://ktp.innovateuk.org/.
About SME Capital and The Academic Team
SME Capital: SME Capital is an established financial services provider that has maintained a strong differentiation through technology and data. SME Capital has experience building data products used by lenders & investors, and range from risk predictions (e.g., probability of default and time series forecasting) to data integration products.
The Academic Team: This is a project supported by an experienced academic team at the University of Warwick. The Knowledge Transfer Partnership (KTP) will be supervised by Dr Martin Lotz and Dr Marya Bazzi, and be associated with the Mathematics Institute, one of the world’s leading research-focused Mathematics departments. The associate will have the opportunity to interact and collaborate with other members of staff and departments throughout the project.
Interview Date: TBC.
Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the Apply button.
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