Equity Index Quantitative Researcher

Equity Index Quantitative Researcher-

Location

New York

Business Area

Product

Ref #

10051599

Description & Requirements

What's the role?

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.

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.

Salary Range = 155,000 - 285,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that 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) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email View email address on click.appcast.io