About Scientific Beta
Scientific Beta, an SGX and EDHEC venture, is the name of the smart beta index provision activity originally set up by the EDHEC Risk Institute, the applied finance research centre of EDHEC Business School. On January 31, 2020, the Singapore Exchange (SGX) acquired a majority stake in Scientific Beta with the commitment to maintain the strong collaboration with EDHEC Business School, and principles of independent and empirical-based academic research, that have benefited Scientific Beta’s development to date.
Scientific Beta is an original initiative, which aims to favour the adoption of the latest advances in smart beta, green and thematic index 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, green and thematic solutions that are most proven scientifically with full transparency of both the methods and the associated risks. In particular, Scientific Beta launched in 2021 a unique series of pure climate indices that translates companies' climate performance and alignment engagement into portfolio decisions. As of June 30, 2021, the Scientific Beta indices corresponded to USD 63.75bn in assets under replication.
Scientific Beta has a dedicated team of 52 people across the world who cover development, production, operation, client services 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.
Internship: Quantitative Research Analyst - Indices & Benchmarks - Two vacancies in Nice, France – Full-time
The interns will be responsible for quantitative research, performance analysis and reporting on systematic equity investment strategies, including the Scientific Beta smart factor indices.
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 candidates 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 interns 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 candidates 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 2023.
For more information about Scientific Beta, please visit www.scientificbeta.com or click here to download the Corporate Brochure.
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.