Cambridge Judge Business School leverages the power of academia for real world impact to transform individuals, organisations and society. Since 1990, Cambridge Judge has forged a reputation as a centre of rigorous thinking and high-impact transformative education, situated within one of the world's most prestigious research universities, and in the heart of the Cambridge Cluster, the most successful technology entrepreneurship cluster in Europe.
Established in January 2015, the Cambridge Centre for Alternative Finance (CCAF) is an international and interdisciplinary research centre dedicated to the study of alternative finance, focusing on new financial instruments and channels of finance emerging outside of the traditional financial system in the areas of alternative financing channels, alternative approaches to credit analytics and alternative payment systems. The Centre is based in Central Cambridge.
As a quantitative researcher, you will be joining a collaborative and fast-growing research team at one of the newest research centres within the School. This position is ideal for a motivated, self-driven and innovative researcher with a passion for academic research and expertise in applied statistics, data mining, analysis, visualisation and modelling.
Working closely with CCAF's Executive Director and other team members, this role requires you to clean, aggregate and analyse large datasets from complex and multiple sources to inform the CCAF's cutting-edge research in the fast-evolving field of alternative finance. It involves handling large volumes of transaction level data from online and offline alternative finance channels, utilizing your interpretive and problem-solving skills to process and efficiently derive data-driven insights and seeking patterns in large, noisy data sets using statistical techniques such as time series and regression analysis.
You should be educated to PhD level in a highly quantitative subject (mathematics, statistics, econometrics, physics, quantitative social science, quantitative finance, computer science, physics or engineering). You should have substantial experience with scripting languages e.g. Java, C/C++, Python, Perl, PHP and text mining tools e.g. Stata, SPSS, R, NLTK, Stanford NLP, Mallet, WEKA, Oracle Data Miner, R Rattle, IBM modeler etc. You should also have evident experience in data crawling and data scraping. The ability to manage your own workload is a prerequisite of this role.
This is a fixed term appointment for nine months in the first instance.
Successful candidates at Research Associate level who have not been awarded their PhD by the appointment date will be under-appointed as a Research Assistant (Grade 5) employed on a salary of £28,936 per annum. Upon award of the PhD the individual will be promoted to Research Associate (Grade 7).
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Further information about Cambridge Judge Business School and the Cambridge Centre for Alternative Finance is available from the website: http://www.jbs.cam.ac.uk/home/
Please quote reference NS13977 on your application and in any correspondence about this vacancy.
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