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Remote Quant Internships Jobs (NOW HIRING)

WallStreetQuants

Entry-Level Quantitative Developer

This remote role is open to candidates based across the United States Requirements Responsibilities ... prior quant or finance experience is required. - Open to applicants from any degree discipline ...

CSAA

$32/hr

Internship Summary: We are actively hiring for an Actuarial Intern! This summer, we are looking for ... quantitative major * Rising juniors and seniors ideally graduating on or before Summer 2028

Symetra

Actuarial Analyst - Remote

$60K - $100K/yr

... quantitative field. * 0-2 years of actuarial, analytical, or related experience through internships ... Please review Symetra's Remote Network Minimum Requirements: As a remote-first organization ...

State of Michigan

Evaluation Intern

Lansing, MI · On-site +1

$15.25 - $20.25/hr

*We are now accepting internship applications* The MDHHS mission is to provide opportunities ... Remote/Hybrid Must be willing to intern 10-20 hours a week Intern Responsibilities / Projects:

Conduent, Inc.

Applied AI Engineer Intern

PA · Remote

This internship is remote and is expected to work 20 hours per week. This posting represents a ... Comfort working with messy, unstructured text and conducting quantitative evaluation and human ...

Graycor Inc.

Investment Analyst Internship

Chicago, IL · On-site +1

$950/wk

... quantitative and verbal disciplines. MBA candidates are encouraged to apply. * Strong Analytical ... Remote work options for certain positions * Potential to earn up to $950 in wellness incentives

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How much do remote quant internships jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote quant internships in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a remote quant internship?

Remote quant internships are temporary, project-based positions that allow students or recent graduates to work with quantitative finance teams from a remote location, typically online. Interns in these roles use mathematical models, statistical analysis, and programming to solve financial or data-driven problems for banks, hedge funds, or tech companies. The remote format allows participants to gain valuable industry experience and mentorship without needing to relocate, offering flexibility and access to global opportunities. These internships often require strong skills in mathematics, programming (such as Python or R), and sometimes previous coursework or experience in finance or data science.

What are the key skills and qualifications needed to thrive as a remote quant intern, and why are they important?

To thrive as a Remote Quant Intern, you need strong quantitative and analytical abilities, proficiency in mathematics, statistics, and programming, and usually enrollment in or completion of a relevant degree such as mathematics, finance, or computer science. Familiarity with programming languages like Python, R, or C++, as well as tools such as MATLAB and statistical modeling software, is typically required. Excellent communication, self-motivation, and problem-solving skills enable you to collaborate virtually and tackle complex challenges independently. These skills ensure you can contribute valuable insights, work effectively in a remote setting, and meet the technical demands of quantitative finance or research projects.

What are some common challenges faced during remote quant internships, and how can interns overcome them?

Remote quant internships often present unique challenges, such as limited in-person mentorship, potential miscommunication with team members, and difficulties accessing proprietary tools or datasets remotely. To overcome these, interns should proactively schedule regular check-ins with mentors, utilize collaboration platforms effectively, and clarify project expectations early on. Building a clear routine, seeking feedback frequently, and participating in virtual team meetings can also help interns stay engaged and make the most of the remote experience.

What is the difference between Remote Quant Internships vs Remote Data Analyst Internships?

AspectRemote Quant InternshipsRemote Data Analyst Internships
Required skillsMathematics, programming (Python, R), statistical analysisData analysis, Excel, SQL, visualization tools
Work environmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, tech companies
Industry usageFinance, trading, quantitative researchBusiness intelligence, marketing, operations

Remote Quant Internships focus on quantitative analysis, mathematical modeling, and programming skills used in finance and trading. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting across various industries. While both roles involve data handling, quant internships are more specialized in financial modeling and algorithms, whereas data analyst roles are broader in business applications.

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Remote Quant Internships jobs near you
Infographic showing various Remote Quant Internships job openings in the United States as of August 2026, with employment types broken down into 9% Internship, 1% As Needed, 76% Full Time, 13% Part Time, and 1% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Research Intern

Allen Park, MI • Remote

Detroit Lions
Spectator Sports • 51 - 200 employees
Learn more about Detroit Lionsexternal

Part-time, Internship

Posted 11 days ago

Job description

The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club's Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.

Qualifications

  • Passion for the game of football
  • Intellectual curiosity and enthusiasm for answering questions with data
  • Ability to build statistical models in R or Python required
  • Coursework in statistics and/or machine learning required
  • Strong quantitative intuition
  • Self-directed, proactive, and able to work independently

Optional Supplemental Materials

  • If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
  • If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application

Time Commitment

This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period. Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.

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