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As of Jul 14, 2026, the average hourly pay for internship quantic in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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To succeed as an intern at Quantic, you generally need strong analytical abilities, a background in business or technology, and enrollment in a relevant degree program. Familiarity with project management tools, data analysis software, or industry-specific platforms is often advantageous. Proactive communication, adaptability, and eagerness to learn are vital soft skills that help interns stand out. These skills and qualities are important because they enable interns to contribute meaningfully, adapt quickly, and maximize learning in a dynamic, fast-paced environment.

What is an Internship at Quantic?

An Internship at Quantic typically refers to a temporary position offered to students or recent graduates, providing hands-on experience in various business, technology, or educational roles within the Quantic organization. Interns work on real-world projects, receive mentorship from experienced professionals, and gain exposure to the company's innovative approach to online business education. These internships are designed to help participants develop valuable skills and network within their field, often serving as a stepping stone to full-time opportunities. The duration and specific responsibilities of the internship can vary based on the department and current organizational needs.

What types of projects and responsibilities can I expect during an Internship at Quantic?

As an intern at Quantic, you'll typically work on real-world projects that align with your area of study, such as data analysis, software development, or business strategy. Interns often collaborate closely with full-time team members, participate in meetings, and may have the opportunity to present their work to leadership. The work environment is usually fast-paced and encourages learning, with access to mentorship and regular feedback. This immersive experience is designed to give you practical skills, help you build your professional network, and prepare you for future roles at Quantic or in the broader industry.

What is the difference between Internship Quantic vs Data Analyst Intern?

AspectInternship QuanticData Analyst Intern
Required CredentialsBasic coding, data analysis fundamentalsBasic to intermediate data analysis skills, sometimes coursework or certifications
Work EnvironmentStartups, tech companies, educational platformsCorporate, tech firms, consulting agencies
Employer & Industry UsageUsed for entry-level tech and data roles, often in innovative sectorsCommon in business, finance, and tech industries for entry-level data roles

The Internship Quantic typically targets individuals seeking foundational data skills in innovative environments, while Data Analyst Internships are more common in established companies focusing on business insights. Both roles serve as entry points into data careers but differ slightly in industry focus and work setting.

What are the most commonly searched types of Quantic jobs? The most popular types of Quantic jobs are:
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Infographic showing various Internship Quantic job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Walleye Capital Internships

Boston, MA

$20K/mo

Other

Posted 13 days ago

Job description

Position: Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Location: Boston, MA

Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you.

Firm Overview:

Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies.

Our Team Overview:

Walleye Capital is seeking highly quantitative and creative PhD Quantitative Researcher Interns to work in the rapidly growing Quantic team based out of Boston. Quantic is Walleye's principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry.

We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals-and achieving them the right way-takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented researchers to help elevate our capabilities and join us on this journey.

This role offers the opportunity to engage directly with cutting-edge data analysis, portfolio optimization, platform development, and operation of fully automated trading systems. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite researchers with a proven record of innovation and achievement in their fields to apply.

Position Overview:

As a Quantic Intern, you'll work directly with experienced team members on meaningful projects that impact trading strategies and operations. You'll have the opportunity to work on high-impact initiatives and develop your skills in a dynamic setting where innovation, teamwork, and talent drive success.

We are seeking students with strong technical backgrounds (e.g., mathematics, statistics, computer science, or engineering), demonstrated initiative, and an interest in quantitative trading and research. Successful interns are curious, collaborative, and eager to tackle complex problems in a fast-paced, supportive environment.

The internship is 10 weeks in length and will take place in Boston from June to August 2027.

Responsibilities:

  • Research, design, and test predictive signals, data sets, and systematic trading strategies.
  • Extract and analyze large datasets from structured and unstructured sources, applying advanced statistical and computational methods.
  • Enhance research infrastructure and tools for trading, risk management and attribution.
  • Develop machine learning models to predict patterns in asset returns, risks, trading costs, or other portfolio-relevant variables.
  • Design and implement scalable code across various stages of the investment process.
  • Work in Python and/or R, with opportunities to contribute to research tools and libraries.
  • Leverage AI tools including LLM-based analytical pipelines to enhance processes and analyses.

We seek individuals who:

  • Are pursuing a PhD degree in computer science, engineering, statistics, operations research, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028.
  • Possess strong programming skills-particularly in Python or R-and hold experience working with large datasets, APIs, or databases.
  • Demonstrate rigorous analytical thinking, statistical modeling abilities, and familiarity with techniques from machine learning, optimization, or time-series analysis.
  • Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team.
  • Exhibit a genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:

The expected monthly pay for this position is $20,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from Boston (domestic travel only). 

The deadline to apply for this opportunity is Friday, October 30 at 11:59pm ET. For questions about the process, please review our Campus FAQs.

Please apply to only one opportunity between the Quantitative Developer, Quantitative Researcher and PhD Quantitative Researcher positions with Quantic. If the team finds you could be a potential fit for the other, we will contact you.

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.     

Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.  

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