Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 5
Communication @ 6
Mathematics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. The team operates in a highly collaborative environment with a strong focus on research rigor, practical implementation, and real-world impact across index and investment applications.
Responsibilities
- 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).
Requirements
- 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).
- Ability to work with large and diverse datasets (market, fundamental, alternative data).
- Strong written and verbal communication skills; able to present complex ideas to technical and non-technical audiences.
Nice to Have
- Self-drive, attention to detail, and ability to operate effectively in a collaborative team environment.
- Experience contributing to portfolio analytics and sustainability research.
Compensation & Benefits
- Salary Range: 155,000 - 285,000 USD Annual + Benefits + Bonus.
- Benefits may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.
Other
- Location: New York (see job posting for application link).