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Quant Research Internships Jobs (NOW HIRING)

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Quant Research * Quant Trading * Quant Developer * Quantitative Analyst * Risk Quant * Systematic ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Quant Research * Quant Trading * Quant Developer * Quantitative Analyst * Risk Quant * Systematic ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site +1

As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer.

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer.

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Quant Research Internships information

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How much do quant research internships jobs pay per year?

As of Jul 13, 2026, the average yearly pay for quant research internships in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What types of projects or responsibilities can I expect as a Quant Research Intern?

As a Quant Research Intern, you can expect to work on projects involving quantitative analysis, data cleaning and processing, statistical modeling, and assisting in the development and backtesting of trading strategies. Your daily responsibilities may include collaborating with full-time quantitative researchers, analyzing large datasets, and presenting your findings to your team. You’ll likely work with programming languages such as Python or R, and may utilize statistical or machine learning techniques. This hands-on experience provides valuable insight into the workflow of quantitative research and is an excellent stepping stone for pursuing full-time roles in the industry.

What are the key skills and qualifications needed to thrive in the Quant Research Internships position, and why are they important?

To thrive in Quant Research Internships, a strong background in mathematics, statistics, programming (such as Python or R), and quantitative analysis is essential, often supported by ongoing studies in fields like mathematics, physics, engineering, or finance. Proficiency with data analysis tools, programming languages, and sometimes experience with machine learning libraries or databases is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns excel in team-driven, research-heavy environments. These capabilities enable interns to contribute meaningful insights and value to fast-paced quantitative research teams addressing complex financial or data-driven problems.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts and researchers for roles such as Quant Research Internships, focusing on developing mathematical models and algorithms for trading and risk management. Candidates typically need strong backgrounds in mathematics, programming, and finance, and may work with tools like Python, R, or MATLAB in a collaborative environment.

How much do quant research interns make?

Quant research interns typically earn between $20 and $40 per hour, with annual stipends ranging from $30,000 to $60,000 depending on the firm and location. Compensation often includes exposure to programming languages like Python or R and may vary based on experience and educational background.

Is 22 too old for an internship?

Quant research internships are typically open to candidates of various ages, including 22. Age is generally not a barrier if you have the relevant skills, such as programming, data analysis, and a strong quantitative background. Many interns are in their early to mid-20s and beyond, especially if they are pursuing or have completed relevant education or certifications.

How much do quant interns earn?

Quant research interns typically earn between $20 and $40 per hour, with total summer stipends ranging from $4,000 to $8,000 depending on the firm and location. Compensation often includes exposure to programming languages like Python or R and may vary based on experience and firm size.

What is a Quant Research Internships job?

A Quant Research Internship involves using mathematical, statistical, and programming skills to analyze financial data and develop trading strategies. Interns work with quantitative researchers and traders to identify patterns, test models, and optimize algorithms. The role typically requires proficiency in programming languages like Python or C++, a strong foundation in probability and statistics, and knowledge of financial markets.

More about Quant Research Internships jobs
What cities are hiring for Quant Research Internships jobs? Cities with the most Quant Research Internships job openings:
What are the most commonly searched types of Quant Research Internships jobs? The most popular types of Quant Research Internships jobs are:
What states have the most Quant Research Internships jobs? States with the most job openings for Quant Research Internships jobs include:
What job categories do people searching Quant Research Internships jobs look for? The top searched job categories for Quant Research Internships jobs are:
Quant Research Internships jobs near you
Infographic showing various Quant Research Internships job openings in the United States as of July 2026, with employment types broken down into 15% Internship, 1% As Needed, 63% Full Time, 17% Part Time, 3% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $119,165 per year, or $57.3 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

Re-posted 21 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 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

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