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Weekend 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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How much do weekend quant research internships jobs pay per year?

As of Jul 13, 2026, the average yearly pay for weekend quant research internships in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on as a Weekend Quant Research Intern, and how do they contribute to the team's goals?

As a Weekend Quant Research Intern, you will typically work on projects such as analyzing large financial datasets, developing and backtesting trading strategies, and enhancing statistical models. These projects are designed to support the team's research into market trends and contribute directly to the development of trading algorithms or risk management tools. You'll often collaborate with full-time quants, data scientists, and traders, gaining exposure to real-world quantitative finance problems and workflows. This hands-on experience not only builds your technical skills but also helps you understand how quantitative research drives decision-making within the firm.

What are Weekend Quant Research Internships?

Weekend Quant Research Internships are short-term internship programs that typically take place on weekends, allowing students or recent graduates to gain experience in quantitative research while balancing academic or other commitments during the week. These internships are usually offered by financial institutions, hedge funds, or tech companies, and focus on using mathematical models, statistical analysis, and programming to solve real-world problems. Interns may work on tasks such as data analysis, model development, or back-testing trading strategies. The weekend format is especially beneficial for those who cannot commit to full-time internships due to coursework or other obligations.

What is the difference between Weekend Quant Research Internships vs Weekend Data Analyst Internships?

AspectWeekend Quant Research InternshipsWeekend Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften students in data science, statistics, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksTech companies, consulting firms, or finance departments
Employer & Industry UsageCommon in finance and investment sectorsWidespread across various industries including finance and tech
Search & Comparison IntentInterested in quantitative finance roles on weekendsLooking for data analysis internships on weekends

Weekend Quant Research Internships focus on financial modeling and quantitative analysis within finance firms, requiring finance or math backgrounds. Weekend Data Analyst Internships involve analyzing data across industries, often requiring statistics or data science skills. Both are weekend roles but serve different industry needs and skill sets.

What are the key skills and qualifications needed to thrive as a Weekend Quant Research Intern, and why are they important?

To excel as a Weekend Quant Research Intern, you typically need strong quantitative skills, proficiency in statistics, and a background in fields like mathematics, finance, or computer science, often demonstrated through relevant coursework or degrees. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is highly valued. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with team members. These abilities are essential for producing high-quality research insights and supporting data-driven decision-making in a fast-paced quantitative environment.
More about Weekend Quant Research Internships jobs
What cities are hiring for Weekend Quant Research Internships jobs? Cities with the most Weekend 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 Weekend Quant Research Internships jobs? States with the most job openings for Weekend Quant Research Internships jobs include:
What job categories do people searching Weekend Quant Research Internships jobs look for? The top searched job categories for Weekend Quant Research Internships jobs are:
Weekend Quant Research Internships jobs near you
Infographic showing various Weekend 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 $100,127 per year, or $48.1 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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