Research Assistant, The Regulatory Genome Project (Fixed Term)

Cambridge Judge Business School (CJBS) 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.

We are looking to recruit a pre-doctoral researcher to work with the Regulatory Genome Project (RGP) of Cambridge Judge Business School. RGP is a private-public collaboration between CJBS and RegGenome Limited, a spin out company of the University of Cambridge. The RGP initiative was forged in response to the dynamic shifts in technology and socio-political landscapes and it runs a unique cross-cutting research program between financial regulation and use of AI-NLP application. The RGP is now embarking on cutting-edge research in collaboration with a large government agency.

We are looking for a researcher to join a small team investigating Natural Language Processing problems in the domain of Financial Regulation. The role would be located within the Judge Business School but the successful candidate would work in collaboration with the Department of Computer Science and Technology. A degree in Computer Science with postgraduate experience in Natural Language Processing and Machine Learning are requirements of the role as well as considerable experience in the finance industry.

There will also be opportunity to collaborate with external companies---experience of best-practice in coding and working in teams would be a benefit to help facilitate this.

The role will sit within the RGP at CJBS. The role holder will work closely with the research faculty leading RGP (Management Practice Professor of Finance Robert Wardrop) and faculty from the Department of Computer Science. Daily, the individual will be supporting the developing, conducting and supporting research and data analysis of on-going and/or new research projects.

The person appointed will have time to continue developing their own research and will be expected to publish in leading international journals. There are no teaching obligations for this position.

The ideal candidate will be able to demonstrate good technical skills including in Natural Language Processing and Machine Learning applied in finance, and a strong commitment to research and publications in top refereed academic journals. Good time management and planning skills with a commitment to delivery are a pre-requisite of this role. In addition, the candidate should be an enthusiastic team member who is driven and committed.

Application Requirements

• Curriculum Vitae
• Covering letter (the candidate's covering letter should demonstrate how their own experience meets these requirements and explain the reason for nominating the two referees the candidate proposes for this application).
• Job market paper plus an optional second paper if it is relevant to the role (the candidate's job market paper should preferably be sole-authored, if it is co-authored, this should be explained in the covering letter).

Applicants are required to provide details of two referees. Typically, referees will not be contacted until an offer has been made. In exceptional circumstances, we may need to contact your referees at an earlier stage of the recruitment process; however, this will only be done with your prior consent.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

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