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Remote Quantitative Analyst Internship Jobs (NOW HIRING)

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

... Quantitative Psychology to be obtained between December 2027 and June 2029. * Experience defining ... Previous experience/internship in data analysis, business intelligence, or Information Technology.

This remote role is open to candidates based across the United States Requirements Responsibilities ... analytical judgment and learning ability. - Strong computer science fundamentals, including data ...

$140K - $165K/yr

We are seeking a Lead Quantitative Analyst to lead analytical work across customer conversion ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

Quant Associate

New York, NY · On-site +1

$130K - $160K/yr

Experience working with large financial datasets and statistical analysis. * Exposure to machine learning techniques or predictive modeling. * Internship or research experience within quantitative ...

Quant Associate

New York, NY · On-site +1

$130K - $160K/yr

Experience working with large financial datasets and statistical analysis. * Exposure to machine learning techniques or predictive modeling. * Internship or research experience within quantitative ...

Trading Analyst

New York, NY · Remote

$145K - $185K/yr

... Internship, Casual Remote | New York, NY, United States Trading Analyst - Initio Capital Location ... Data Modeling: Build financial models and use quantitative analysis to support trade ...

Remote Industry: AI recruiting and talent marketplace (B2B SaaS) Compensation: $20-$35 per hour ... The Opportunity This is a marketing analyst internship that sits between the data and the decision.

Showing results 41-60

Remote Quantitative Analyst Internship information

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$56.5K

$133.9K

$240K

How much do remote quantitative analyst internship jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote quantitative analyst internship in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a remote quantitative analyst internship?

A Remote Quantitative Analyst Internship is a temporary, entry-level position where interns work from a remote location to assist organizations with data analysis, mathematical modeling, and financial research. Interns typically use statistical tools and programming languages to analyze large datasets, identify trends, and generate reports that help guide business or investment decisions. This internship provides valuable hands-on experience in quantitative analysis, exposure to industry-standard software, and the opportunity to collaborate with experienced analysts—all while working outside of a traditional office environment.

What are the key skills and qualifications needed to thrive as a remote quantitative analyst intern?

To thrive as a Remote Quantitative Analyst Intern, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, often supported by coursework in economics, finance, or related fields. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and statistical modeling software, is typically required. Excellent problem-solving abilities, clear communication, and the ability to work independently are crucial soft skills for remote collaboration and reporting insights. These skills are essential for accurately analyzing data, supporting decision-making, and contributing effectively to team goals in a remote environment.

What are some common challenges faced by remote quantitative analyst interns, and how can they be overcome?

Remote quantitative analyst interns often face challenges such as limited access to immediate feedback, staying connected with team members, and managing time effectively without direct supervision. To overcome these, it's important to proactively communicate with supervisors and colleagues through scheduled check-ins and virtual meetings. Using collaborative tools for data sharing and project tracking can also help maintain productivity and alignment with team goals. Additionally, setting a structured daily routine and seeking out mentorship opportunities within the organization can greatly enhance the remote internship experience.
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Infographic showing various Remote Quantitative Analyst Internship job openings in the United States as of September 2026, with employment types broken down into 13% Internship, 49% Full Time, 25% Part Time, and 13% Temporary. Highlights an 100% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

IT Data Analyst Internship 2027

Modesto, CA • On-site, Remote

$26.50 - $28.50/hr

Full-time, Internship

Medical, Dental, Retirement

Posted 26 days ago


Gallo rating

8.1

Company rating: 8.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Job Req ID: 107500 

Job Type: Full-time 

Work Category: Hybrid Telecommute,

Application Close Date: 10/18/2026 

Sponsorship: Not Available 

Compensation: $26.50 - $28.50 / hour

Duration:  10 week

Anticipated Start Date: June 2027 

As part of the first-round interview process, qualified applicants will be required to submit a self-recorded video using Paradox, and complete a coding assessment.

*Important Information*
Applications will not be reviewed until the application close date.

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We are GALLO

We’re a family-owned company with a 90+ year legacy, that’s consistently recognized as a Glassdoor “Best Places to Work.” We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We’re home to the #1 wine and spirits brands in the U.S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America.

View our Corporate Values and Mission Statement here.

A Taste of What You'll Do

Join GALLO's award-winning Information Technology team as an IT Data Intern and help turn data into insights that support the world’s largest family-owned winery. In this summer internship, you’ll gain hands-on experience across business systems analysis, data analysis, and developer/programmer opportunities while working with leading technology and software.

You’ll collaborate with cross-functional teams across areas such as Marketing, Sales, Finance, Manufacturing, Winemaking, and Research & Development to help answer business questions, improve reporting, and support data-driven decision-making. Through project rotations within Application Development, Business Analysis, and/or Data Services, you’ll build practical skills while contributing meaningful work from day one.

This internship is designed to help you grow professionally, apply your education in a dynamic industry, and explore future career opportunities with GALLO. You’ll be part of a program that values your skills, interests, and educational experiences while helping build a strong pipeline for future full-time roles.

What You'll Need

  • Currently enrolled at a college or university and working towards a Bachelor’s degree OR Master's degree in one of the following areas: Computer Science, Management Information Systems, Business Analytics, Economics, Mathematics, Statistics, Data Science, Data Analytics, Informatics, Marketing Research, Cognitive Science, or Applied/Quantitative Psychology to be obtained between December 2027 and June 2029.
  • Experience defining problems, collecting data, establishing facts, and drawing valid conclusions.
  • Capable of working with data in Python, R and SQL.
  • Familiar with advanced statistical concepts such as random forests, ensemble methods, LNearest Neighbors, K-Means, etc.
  • Strong written, verbal, and analytical skills.
  • Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this job description.

How You'll Stand Out

  • Working towards a Bachelor’s degree OR Master's in Computer Science, Management Information Systems, Economics, Mathematics, Statistics, Data Science, Data Analytics, Marketing Research, Cognitive Science, or Applied/Quantitative Psychology.
  • Previous experience/internship in data analysis, business intelligence, or Information Technology.
  • Knowledge or experience working with cloud ecosystems such as AWS, cloud data platforms such as Snowflake, Databricks, or similar, and experience using AI tools to accelerate data analysis.
  • Coursework or projects in statistics, experimentation, or data visualization.

To view the full job description, please click here.

Our Benefits & Perks

We are committed to providing competitive compensation, perks, and a culture that supports your well-being. Benefits depend on your work category and may include medical and dental coverage, 401k plans, profit sharing, pet insurance, company holidays, access to an employee wine shop, and more! Additional information will be provided before your first interview.

The Fine Print

  • The Company does not sponsor for employment-based visas for this position now or in the future.
  • We offer a broad salary range to allow for long-term growth. Actual compensation paid within the range will be determined by multiple factors, including, but not limited to, education, experience, knowledge, skills and abilities, internal equity, and alignment with market data. Although we estimate the successful candidate hired into this role will be placed between the entry point and middle of the range, the decision will be made on a case-by-case basis related to these factors. In addition to the salary, this position may be eligible for bonuses, incentive plans, or participate in tasting room tip pools, as applicable.
  • This position will be based in the location(s) specified in the job posting with an option for occasional telecommuting. You will be expected to live within a commutable distance. 
  • It is the Company’s policy for job postings to be open to internal candidates for a minimum of 5 days and to external candidates, if applicable, for a minimum of 3 days.

Gallo’s policy is to afford equal employment opportunities to all applicants and employees and not to discriminate on the basis of race, traits associated with race, including but not limited to, hair texture and protective hairstyles (such as braids, locks, and twists), color, national origin, ancestry, creed, religion, physical disability, mental disability, medical condition as defined by applicable state law (including cancer and predisposing genetic characteristics), genetic information, marital status, familial status, sex, gender, gender identity, gender expression, sexual orientation (actual or perceived), transgender status, sex stereotyping, pregnancy, childbirth or related medical conditions, reproductive health decision making, age, military or veteran status, domestic violence or sexual assault victim status, or any other basis protected by applicable law. Nor will Gallo discriminate based on a perception that an individual has any of the foregoing characteristics or is associated with a person who has, or is perceived to have, any of those characteristics.

Gallo will comply with state and local laws prohibiting discrimination for lawful out-of-work behavior, such as off-duty use of cannabis away from the workplace (subject to federal and state law exceptions), the existence of non-psychoactive cannabis metabolites in hair, blood, urine, or other bodily fluids as determined by a drug screening test (subject to federal and state law exceptions).

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gallo is committed to providing reasonable accommodation for candidates with disabilities in our recruiting process. If you need any assistance or accommodation due to a disability, please let us know at 209.341.7000.

Gallo is enrolled in the Department of Homeland Security's E-Verify program and will use the program to verify the employment eligibility of all newly hired employees as required.

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