Bloomberg’s Index Research group is responsible for the research and development of quantitative indices used for benchmarking and investment strategies. As part of a broader quantitative research organization, the team also contributes to portfolio analytics and sustainability research that serve many of the world’s largest and most sophisticated investors. We operate in a highly collaborative environment with a strong focus on research rigor, practical implementation, and real-world impact across index and investment applications.
What's the role?
We are seeking a Quantitative Index Researcher (mid to senior level) to join our team. This role is focused on equity index research, with an emphasis on factor-based strategies, portfolio construction, and methodology design.
The ideal candidate will hold an advanced degree in a quantitative field and have a background in equity quant research. The ideal candidate will combine strong quantitative skills with hands-on experience in a research-driven coding environment and a solid understanding of equity factor investing.
We'll trust you to
- Design, develop, and enhance quantitative equity index methodologies, including factor and multi-factor strategies
- Conduct empirical research on equity markets, including factor behavior, portfolio construction, and risk characteristics
- Work with large datasets (market, fundamental, and alternative data) to evaluate and improve index performance and robustness
- Collaborate with product and engineering teams to transition research models into scalable production frameworks
- Monitor and refine existing indices, identifying opportunities for improvement and innovation
- Communicate research insights through internal presentations, client discussions, and external publications (e.g., white papers)
You'll need to have
- Advanced degree in Finance, Economics, Mathematics, Physics, or a related quantitative discipline.
- 8+ years of experience in a quant research role focused on equities.
- Strong understanding of equity factors, risk premia, and systematic investment strategies.
- Demonstrated experience working in a quantitative research and coding environment (Proficiency in Python).
We'd love to see
- Self-drive, attention to detail, and able to operate effectively in a collaborate team environment.
- Excellent written and verbal communication skills, with the ability to present complex ideas clearly to both technical and non-technical audiences.
