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Weekend Quant Research Internships Jobs (NOW HIRING)

GSA

Quantitative Researcher - Intern

New York, NY · On-site

We are interested in hearing from students at the penultimate year of their graduate or postgraduate studies who are looking to secure an internship in quantitative research and possess the relevant ...

Dime Line Trading

Quantitative Trader

Chicago, IL

Work evenings and weekends during active sports schedules Required Skills * 2-5+ years of experience in quantitative research, trading, or related analytical roles * Strong proficiency in R, Python ...

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Weekend Quant Research Internships information

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

As of Jun 22, 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.
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What cities are hiring for Weekend Quant Research Internships jobs? Cities with the most Weekend Quant Research Internships job openings:
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Weekend Quant Research Internships jobs near you
Infographic showing various Weekend Quant Research Internships job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, 35% Part Time, and 1% Temporary. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Quantic - Quantitative Developer Intern (Summer 2027)

Walleye Capital Internships

Boston, MA • On-site

$20K/mo

Temporary, Internship

Posted 21 days ago

Job description

Position: Quantic - Quantitative Developer 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 technical and analytically-minded Quantitative Developer 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 developers 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 developers 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:
  • Develop and deploy quantitative infrastructure supporting alpha generation, portfolio construction, and algorithmic trading.
  • Design and manage data pipelines; triage data integrity quality - improving reliability, consistency, and traceability of financial datasets.
  • Partner with traders and researchers to develop and iterate on proprietary trading strategies and alphas.
  • Build reporting and analysis tools for strategy risk, trade cost and execution using data from a proprietary columnar database.
  • Utilize coding skills and leverage AI tools to oversee and improve automated trading systems.

We seek individuals who:
  • Are pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028.
  • Exhibit strong quantitative and analytical skills, including proficiency in a scripting language (Python/BasH/Perl) and experience in UNIX/Linux/BSD environments.
  • Demonstrate familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.).
  • 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, July 31 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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