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Summer Math Research Assistant Jobs in Boston, MA

Economist

Boston, MA ยท On-site

... mathematical and empirical analysis) on monetary policy issues and current macroeconomic and ... and/or research topics. Assist in staff recruitment, reviewing curriculum vitae (CVs) and ...

2027 Summer Associate (Intern)

Boston, MA ยท On-site

$16.25 - $21.75/hr

We Do Consulting Differently Berkeley Research Group (BRG) is a global consulting firm that helps ... Progression towards a Bachelor's or Master's degree in Economics, Mathematics, Data Science ...

Showing results 21-40

Summer Math Research Assistant information

What is a summer math research assistant?

A Summer Math Research Assistant is typically a student or early-career researcher who supports mathematics faculty or research teams during the summer. Their responsibilities may include gathering data, running simulations, analyzing mathematical models, and assisting with academic papers or presentations. This role provides hands-on experience in mathematical research and often helps students develop skills relevant to graduate school or STEM careers. Summer Math Research Assistants may work at universities, research institutes, or through special summer programs.

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

To thrive as a Summer Math Research Assistant, you need strong mathematical reasoning, problem-solving skills, and familiarity with advanced math concepts, often supported by coursework in mathematics or related fields. Proficiency in mathematical software such as MATLAB, Mathematica, or Python is typically required, along with experience using research databases and tools. Attention to detail, effective communication, and collaborative teamwork are essential soft skills in this role. These abilities ensure high-quality research contributions, facilitate clear presentation of findings, and foster productive collaboration within research teams.

What are the most common challenges faced by summer math research assistants, and how can they be addressed?

Summer Math Research Assistants often encounter challenges such as adapting to new mathematical concepts quickly, managing multiple research tasks, and collaborating with diverse team members. To address these, it's important to communicate regularly with your supervisor and peers, stay organized with project timelines, and proactively seek clarification when needed. Engaging in group discussions and attending lab meetings can also help you stay connected and informed, making the research experience more rewarding and less overwhelming.

What is the difference between Summer Math Research Assistant vs Summer Data Analyst?

AspectSummer Math Research AssistantSummer Data Analyst
Required CredentialsUndergraduate or graduate in mathematics, statistics, or related fieldUndergraduate or graduate in data science, statistics, or related field
Work EnvironmentAcademic research projects, university labsCorporate, research firms, or academic settings
Employer & Industry UsageUniversities, research institutesBusinesses, consulting firms, research companies
Common Search & ComparisonYesNo

The Summer Math Research Assistant role focuses on mathematical research, often within academic settings, requiring strong math credentials. In contrast, a Summer Data Analyst emphasizes data interpretation and analysis skills, typically in corporate or research environments. While both roles involve research and data handling, their focus and industry usage differ significantly.

What are popular job titles related to Summer Math Research Assistant jobs in Boston, MA?

For Summer Math Research Assistant jobs in Boston, MA, the most frequently searched job titles are:

Quantic - PhD Quantitative Researcher Intern (Summer 2027)

Walleye Capital Internships

Boston, MA โ€ข On-site

$20K/mo

Temporary, Internship

Re-posted 4 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/.