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Quantitative Equity Jobs (NOW HIRING)

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Quantitative Equity information

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$31K

$90.6K

$146K

How much do quantitative equity jobs pay per year?

As of Jul 23, 2026, the average yearly pay for quantitative equity in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a Quantitative Equity Analyst?

A Quantitative Equity Analyst is a finance professional who uses mathematical models, statistics, and computer programming to analyze equity securities and make investment recommendations. They focus on developing and implementing quantitative strategies to identify trends, assess risk, and optimize portfolio performance in the stock market. Their work often involves large data sets, algorithmic trading, and automated decision-making processes. Quantitative Equity Analysts typically work for investment banks, hedge funds, or asset management firms.

What is the difference between Quantitative Equity vs Quantitative Research Analyst?

AspectQuantitative EquityQuantitative Research Analyst
Required CredentialsDegree in Finance, Mathematics, or related field; often CFA or similar certificationsSimilar educational background; CFA or quantitative certifications common
Work EnvironmentAsset management firms, hedge funds, investment banksResearch firms, asset managers, hedge funds
Employer & Industry UsagePrimarily in investment management and hedge fundsIn research departments of financial firms and asset managers

Quantitative Equity professionals focus on developing models to select stocks and manage equity portfolios, while Quantitative Research Analysts conduct broader research to inform trading strategies and investment decisions. Both roles require strong quantitative skills and often overlap in skills and work environment, but their primary focus differs: one on equity investment strategies, the other on research supporting various asset classes.

What are some common challenges faced when working as part of a Quantitative Equity team?

Professionals in Quantitative Equity often encounter challenges such as rapidly changing market conditions, the need to continuously refine and test models, and managing large datasets efficiently. Collaboration with portfolio managers and other analysts is essential to ensure models align with investment strategies and risk parameters. Additionally, keeping up with technological advancements and regulatory requirements is key to maintaining a competitive edge and ensuring compliance.

What are the key skills and qualifications needed to thrive as a Quantitative Equity Analyst, and why are they important?

To thrive as a Quantitative Equity Analyst, you need a strong background in mathematics, statistics, finance, and programming, often supported by a degree in quantitative fields such as mathematics, finance, or computer science. Proficiency with statistical software (such as R, Python, or MATLAB), financial databases (like Bloomberg), and knowledge of portfolio management systems is typically required. Exceptional analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data into actionable investment insights. These competencies are crucial for developing robust models, making informed investment decisions, and collaborating with diverse teams in fast-paced financial environments.
More about Quantitative Equity jobs
What cities are hiring for Quantitative Equity jobs? Cities with the most Quantitative Equity job openings:
What states have the most Quantitative Equity jobs? States with the most job openings for Quantitative Equity jobs include:
Infographic showing various Quantitative Equity job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Equity Index Quantitative Researcher

Equity Index Quantitative Researcher

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

10th of 215 rated software companies


Job description

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 collaborative 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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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981