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Virtual Quant Research Internships Jobs (NOW HIRING)

Optiver

Quantitative Intern (Summer 2027)

Austin, TX

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)

Austin, TX · On-site

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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$52.5K

$119.2K

$196.5K

How much do virtual quant research internships jobs pay per year?

As of Aug 23, 2026, the average yearly pay for virtual 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 is a virtual quant research internship?

Virtual Quant Research Internships are remote internship programs where students or recent graduates work on quantitative research projects, often in finance, data science, or technology sectors. Interns typically analyze large datasets, develop mathematical models, and use programming skills to solve real-world problems, all while collaborating with teams online. These internships provide valuable hands-on experience in quantitative analysis and research methods, as well as exposure to industry-standard tools and practices. They are ideal for individuals seeking flexibility and practical experience without relocating.

What skills and qualifications are needed to thrive as a virtual quant research intern?

To thrive as a Virtual Quant Research Intern, you need a strong background in mathematics, statistics, and programming—usually supported by coursework in quantitative fields like mathematics, finance, or computer science. Familiarity with programming languages such as Python, R, or MATLAB, and experience with statistical analysis tools or data visualization libraries, are typically expected. Analytical thinking, problem-solving, and effective remote communication skills help set candidates apart. These abilities are crucial for successfully conducting quantitative research, producing actionable insights, and collaborating with remote teams in a virtual environment.

What are common challenges faced by virtual quant research interns, and how can they be addressed?

Virtual Quant Research Interns often encounter challenges such as limited access to real-time collaboration, difficulty in understanding complex quantitative concepts without in-person guidance, and managing independent research projects remotely. To address these challenges, it's important to proactively communicate with mentors, participate in virtual team meetings, and utilize collaborative tools like shared code repositories and video conferencing. Setting clear goals and regularly seeking feedback can also help interns stay engaged and ensure progress, even in a remote environment.

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

AspectVirtual Quant Research InternshipsVirtual Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften pursuing degrees in statistics, data science, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksCorporations, consulting firms, or tech companies
Employer & Industry UsageUsed mainly in finance and investment industriesCommon across various industries including tech, marketing, and finance
Search & Comparison IntentFocus on finance, quantitative research, and investment analysisFocus on data analysis, reporting, and business insights

Virtual Quant Research Internships primarily target students interested in finance and quantitative analysis within investment firms, while Virtual Data Analyst Internships are broader, covering various industries and emphasizing data interpretation and reporting. Both roles require strong analytical skills but differ in industry focus and typical employer types.

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Virtual Quant Research Internships jobs near you
Infographic showing various Virtual Quant Research Internships job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Equity Index Quantitative Researcher

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-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

12th of 246 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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