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Math Research Internship Jobs in Massachusetts (NOW HIRING)

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

... mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances ... Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ...

NorthEastern

Research Scientist

Burlington, MA · On-site

... Mathematics, or a closely related field. * 2-4 years of professional experience in software ... Experience contributing to government, defense, or securityrelated R&D programs (internships ...

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Math Research Internship information

What is a math research internship?

A Math Research Internship is a temporary position, often held by undergraduate or graduate students, where participants work on mathematical research projects under the guidance of experienced mentors or faculty. These internships provide hands-on experience in applying mathematical theories, developing new approaches to problem-solving, and sometimes contributing to publishable research. Interns gain exposure to real-world applications of mathematics and build valuable skills for academic or industry careers. Math research internships can be found at universities, research institutes, and companies that rely on advanced mathematics.

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

To thrive as a Math Research Intern, you need a solid background in advanced mathematics, analytical thinking, and problem-solving, typically supported by progress toward a relevant degree. Familiarity with mathematical software such as MATLAB, Mathematica, or Python, as well as experience with data analysis and LaTeX for documentation, is often expected. Strong communication, collaboration, and perseverance help interns contribute effectively to research teams and present findings clearly. These skills are crucial for tackling complex problems, advancing research objectives, and communicating results within academic or industry environments.

What types of projects do math research interns typically work on, and how are they integrated into ongoing research teams?

Math research interns often contribute to ongoing projects in areas such as data analysis, algorithm development, statistical modeling, or pure mathematical theory, depending on the organization's focus. Interns usually work under the guidance of a lead researcher or mentor and participate in regular team meetings, progress reviews, and collaborative problem-solving sessions. This structure helps interns gain exposure to real-world research processes and encourages skill development through hands-on experience and feedback. The collaborative environment also allows interns to build professional connections and learn from experienced mathematicians.

What is the difference between Math Research Internship vs Data Analyst?

AspectMath Research InternshipData Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, statistics, or related fieldsOften requires a degree in statistics, mathematics, or data science
Work EnvironmentAcademic or research institutions, universities, or research labsCorporate, finance, healthcare, or tech companies
Industry UsageUsed in academic research, scientific studies, and theoretical projectsApplied in business analytics, market research, and data-driven decision making

While both roles involve quantitative skills and data analysis, a Math Research Internship focuses on theoretical and academic research in mathematics, often within educational or research institutions. In contrast, a Data Analyst applies data analysis techniques to solve practical business problems in various industries.

What are the most commonly searched types of Math Research jobs in Massachusetts?

The most popular types of Math Research jobs in Massachusetts are:

What are popular job titles related to Math Research Internship jobs in Massachusetts?

For Math Research Internship jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Math Research Internship jobs in Massachusetts look for?

The top searched job categories for Math Research Internship jobs in Massachusetts are:

Math Research Internship jobs near you

Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Walleye Capital Internships

Boston, MA • On-site

$20K/mo

Temporary, Internship

Re-posted 21 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.
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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