Quant Researcher

EDHEC is looking to recruit a Quantitative Researcher for its newest FinTech venture, Scientific Portfolio, to be based in Paris (4 Septembre campus) or Nice (Promenade des Anglais campus).

Scientific Portfolio is an early-stage project which will offer its researchers the opportunity to contribute to the launch and growth of a novel platform: EDHEC ambitions for Scientific Portfolio to become a global reference for institutional investors to manage their financial and ESG risks.

Following in the footsteps of prior successes such as Edhec Risk Institute, Scientific Beta or Scientific Infra, this new project will perpetuate the tradition of transferring academic know-how to the industry.

Mission

Scientific Portfolio’s quant researcher will have the following objectives:

Contribute to the research effort on selected topics linked to the financial risk dimension of the platform, in accordance with the research director.
Contribute to the production of research contents including working papers, and whitepapers with the aim to provide methodological transparency and to highlight research results to be published via the platform’s Knowledge & Education Centre.
Contribute to the production of case studies providing concrete illustrations of the platform’s benefits for managing the financial and ESG risks of an equity portfolio, to be published via the platform’s Knowledge & Education Centre.
Contribute to the construction of the platform’s portfolio analysis and allocation tools including the definition of the user logic, the technical specifications, the technical documentation, and the design of the visual interface.
Participate in the communication and marketing effort following the launch of the platform through videos, webinars, or physical conferences.

Profile

The ideal candidate:

Has  a minimum of 3-5Y of experience as a researcher in an investment institution with a focus on quantitative asset management.
Has hands-on experience in researching and testing innovative quantitative models in areas such as equity asset pricing, factor investing, statistics, or portfolio construction. A PhD is a plus.
Can demonstrate excellent written and verbal English communication skills, as required for the purpose of producing high-quality contributions to the platform’s Knowledge & Education Centre.
Has programming experience in Python. Prior experience with further technologies of interest (Django, AWS, CI/CD, GitHub) would be a plus.

EU work permit is mandatory.