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Internship Entry Level Quantitative Researcher Jobs in Boston, MA

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

Bachelor's degree (or equivalent) in a rigorous quantitative field * 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

Bachelor's degree (or equivalent) in a rigorous quantitative field * 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical ...

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Internship Entry Level Quantitative Researcher information

See Boston, MA salary details

$2.6K

$5.7K

$8.4K

How much do internship entry level quantitative researcher jobs pay per month?

As of Aug 30, 2026, the average monthly pay for internship entry level quantitative researcher in Boston, MA is $5,747.25, according to ZipRecruiter salary data. Most workers in this role earn between $3,258.33 and $8,150.00 per month, depending on experience, location, and employer.

What is an internship entry level quantitative researcher?

An Internship Entry Level Quantitative Researcher is a student or recent graduate who assists in analyzing data and developing mathematical models to solve problems, often in finance, technology, or scientific research. They typically work under the supervision of experienced researchers, learning how to use statistical tools, programming languages, and data analysis techniques. The role is designed to give interns hands-on experience in quantitative research, helping them build skills and prepare for full-time analyst or research positions in the future.

What types of projects or tasks are typically assigned to an internship entry level quantitative researcher, and how do these contribute to larger team goals?

Internship Entry Level Quantitative Researchers are often tasked with data collection, cleaning, and analysis, as well as assisting in the development and backtesting of quantitative models. These assignments provide hands-on experience with financial datasets and programming tools such as Python or R. Interns typically work closely with senior researchers, contributing to ongoing research projects or supporting the team in identifying trading strategies. The work done by interns is vital in streamlining processes, validating hypotheses, and supporting the team's overall research objectives, offering valuable exposure to real-world problem-solving in a collaborative environment.

What are the key skills and qualifications needed to thrive as an internship entry level quantitative researcher, and why are they important?

To thrive as an Internship Entry Level Quantitative Researcher, you typically need strong analytical skills, proficiency in mathematics or statistics, and enrollment in or completion of a relevant degree such as mathematics, physics, or computer science. Familiarity with programming languages like Python, R, or MATLAB and experience with data analysis tools are commonly expected. Attention to detail, problem-solving ability, and effective communication help set candidates apart in collaborative research environments. These skills are crucial to accurately analyze data, develop models, and contribute valuable insights for decision-making in research teams.

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Internship Entry Level Quantitative Researcher jobs near you
Infographic showing various Internship Entry Level Quantitative Researcher job openings in Boston, MA as of June 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $68,967 per year, or $33.2 per hour.

Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Boston, MA • On-site

Walleye Capital Internships
See more jobs at Walleye Capital Internshipsexternal

$20K/mo

Temporary, Internship

Re-posted 29 days ago

Job description

Position: Quantic - PhD Quantitative Researcher Intern (Summer 2027)
Location: Boston, MA
Firm Overview:
Walleye Capital is a ~$17 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.
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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