QCGBF is a research centre within KBS, dedicated to the study of central banks and the globally interconnected challenges they face. It aims to develop cutting-edge research in all areas of central bank policymaking, ranging from monetary policy to financial stability and regulation. In particular, the centre’s research agenda emphasizes the following themes:
1. Rethinking central bank mandates and governance
2. Understanding new and emerging threats to economic stability
3. Developing new techniques for tracking and forecasting
The successful candidate will be expected to contribute to projects within the centre’s research remit, with the aim of publishing in leading international journals and establishing the centre as a respected voice in important policy debates. Areas of current interest are climate risk and stress-tests, central bank digital currencies, big data, and the re-examination of central bank mandates.
About KBS
King’s Business School is the ninth and newest faculty at King’s College London and combines the agility of a start-up with the benefit of being part of a world-leading, multi-faculty institution.
The school emphasizes connections with business, start-ups, social enterprises and has a clear ambition to make the world a better place. With a strong emphasis on relevance and diversity, the School fosters an entrepreneurial mind-set in students ready to face the challenges and embrace the opportunities of tomorrow.
This post will be offered on an a fixed term contract until August 2024.
This is a full-time post – 100% full time equivalent
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Essential criteria
1. A completed PhD in Economics or Finance
2. Excellent knowledge and understanding of quantitative research methods
3. Profound interest in the interplay of central banks and financial markets
4. Excellent grasp of programming languages such as Python, R, Matlab, Julia
5. Excellent research and teaching skills
6. Ability to work well in a research team
7. An entrepreneurial and innovative mindset
8. Willingness to participate actively in seminars, workshops and conferences
Desirable criteria
1. Strong publication record or potential to develop one
2. Experience in engaging with practitioners and industry bodies
3. Experience of research funding applications
4. Knowledge of big data / machine learning techniques and the handling of financial data
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