About Scientific Beta
As part of its policy of transferring know-how to the industry, EDHEC-Risk Institute has set up Scientific Beta. Scientific Beta is an original initiative which aims to favour the adoption of the latest advances in smart beta design and implementation by the whole investment industry. Its academic origin provides the foundation for its strategy: offer, in the best economic conditions possible, the smart beta solutions that are most proven scientifically with full transparency of both the methods and the associated risks.
As of June 30, 2019, assets tracking Scientific Beta smart beta indices reached USD 48bn. Scientific Beta has a dedicated team of 52 people who cover client support, development, production and promotion of its index offering.
As part of the development of its index development activity, Scientific Beta is recruiting two interns for quantitative research analysis. The position is based in Nice, France.
The role will require the candidate to use concepts from performance measurement and portfolio theory, as well as applied econometrics and statistics to analyse investment strategies. The candidate will analyse performance over time and in different market conditions, assess implementation issues and transaction costs, as well as examine and explain different portfolio construction steps.
The position focuses on computational tasks but also requires the candidate to present reasoned analysis of his or her results. The intern will also be expected to draft reports and presentation materials based on quantitative results.
The role requires sound knowledge of advanced computational tools (such as MatLab), and advanced knowledge of Excel. The successful candidate will also have an excellent command of financial theory and applied statistics/econometrics, as well as a keen interest in empirical work with financial data and applying advanced research-based concepts in practice.
The internship is for a period of six months, starting in January 2022.
For more information about Scientific Beta, please visit www.scientificbeta.com.
If you wish to apply for this position, please send a cover letter, your CV, and a transcript of grades from your MSc courses to email@example.com.