EDHEC Business School has been offering management training and development programmes since 1906. One of the leading business schools in Europe, it delivers degree courses to over 8,000 students and trains 5,500 professionals yearly through executive courses and research events. EDHEC is accredited by the three main international academic organisations (AACSB (US-Global), Association of MBAs (UK-Global) and EFMD (Europe-Global)). EDHEC has been pursuing world-class applied research activities in the area of risk and investment management for many years. As such, it has set up numerous ventures including EDHEC Risk Institute, EDHEC Infrastructure Institute and Scientific Beta.
As part of its development programme in the area of climate finance, and in order to strengthen its research potential on measuring and managing climate risks for investors’ portfolios, the EDHEC group is recruiting a research engineer in London, UK, within the “Advanced Factor & ESG Investing” research chair supported by EDHEC and Scientific Beta. The successful candidate will work under the guidance of the Scientific Beta Research Director and of EDHEC Risk Institute.
Climate Finance Research Programme- Quantitative Research Engineer — one vacancy in London, UK
The successful candidate will be a financial engineer with significant skills in quantitative finance, financial econometrics, stochastic modelling, computational finance, and good conceptual knowledge of finance theory. A typical profile would be an engineering graduate from a leading engineering school or university with subsequent experience and/or training in finance. Experience in a research post with an investment bank or asset management company and specific expertise in the area of climate finance would be a plus. Applications at junior levels, with no work experience, will be considered provided that the candidate is properly qualified. The successful candidate will participate in EDHEC, EDHEC Risk Institute and Scientific Beta research in the area of applied asset management and will work on optimisation, stochastic modelling, etc. They will represent their research at seminars and conferences, so good presentation skills are required.