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- Tasks: Join a team researching Natural Language Processing in Financial Regulation.
- Company: Cambridge Judge Business School is a prestigious institution known for impactful research and education.
- Benefits: Opportunity to publish research, collaborate with top faculty, and no teaching obligations.
- Why this job: Be part of cutting-edge research that merges finance and AI technology.
- Qualifications: Degree in Computer Science, experience in NLP, Machine Learning, and finance required.
- Other info: Work closely with leading researchers and have time for personal research projects.
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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Research Assistant, The Regulatory Genome Project (Fixed Term) employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant, The Regulatory Genome Project (Fixed Term)
✨Tip Number 1
Familiarise yourself with the latest trends in Natural Language Processing and Machine Learning, especially as they relate to financial regulation. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the finance and tech sectors, particularly those involved in AI and regulatory projects. Attend relevant conferences or webinars to make connections that could provide insights or even referrals for the role.
✨Tip Number 3
Prepare to discuss your previous research experiences and how they align with the goals of the Regulatory Genome Project. Be ready to articulate your contributions and the impact of your work in a collaborative environment.
✨Tip Number 4
Showcase your coding skills by working on relevant projects or contributing to open-source initiatives. This practical experience can set you apart and provide concrete examples to discuss during your interview.
We think you need these skills to ace Research Assistant, The Regulatory Genome Project (Fixed Term)
Some tips for your application 🫡
Tailor Your Covering Letter: Make sure your covering letter specifically addresses how your experience aligns with the requirements of the Research Assistant role. Highlight your background in Natural Language Processing, Machine Learning, and any relevant experience in the finance industry.
Showcase Your Research Skills: In your application, emphasise your research capabilities, particularly in relation to Natural Language Processing and financial regulation. Mention any previous publications or projects that demonstrate your commitment to high-quality research.
Prepare Your Job Market Paper: Ensure your job market paper is well-prepared and preferably sole-authored. If it is co-authored, clearly explain your contributions in the covering letter. This paper should reflect your best work and relevance to the role.
Select Strong Referees: Choose referees who can vouch for your technical skills and research experience. In your covering letter, briefly explain why you have nominated these individuals and how they can speak to your qualifications for the position.
How to prepare for a job interview at Economicsnetwork
✨Showcase Your Technical Skills
Make sure to highlight your experience with Natural Language Processing and Machine Learning during the interview. Be prepared to discuss specific projects you've worked on, particularly those related to finance, as this will demonstrate your technical expertise and relevance to the role.
✨Demonstrate Research Commitment
Express your passion for research and your commitment to publishing in leading academic journals. Share any previous publications or ongoing research projects to illustrate your dedication and ability to contribute to the Regulatory Genome Project.
✨Prepare for Team Collaboration Questions
Since the role involves working closely with a small team and external companies, be ready to discuss your experiences in collaborative environments. Highlight examples where you successfully worked in teams, showcasing your communication skills and ability to adapt.
✨Tailor Your Covering Letter
Your covering letter should clearly connect your background and experiences to the job requirements. Make it personal by explaining why you're interested in the Regulatory Genome Project and how your skills align with their goals, which will help you stand out from other candidates.
