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Internship Mathematical Optimization Jobs (NOW HIRING)

Johns Hopkins Applied Physics Laboratory

... Mathematics, or Computer Science. * Proven internship experience or possess extensive classroom ... algorithms, optimization; hardware testing, embedded systems, sensor testing artificial ...

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Internship Mathematical Optimization information

What is an Internship in Mathematical Optimization?

An Internship in Mathematical Optimization is a temporary position for students or recent graduates to gain practical experience applying mathematical techniques to solve optimization problems. These internships typically involve tasks such as modeling real-world scenarios, developing algorithms, and using software tools to find optimal solutions in areas like logistics, finance, or engineering. Interns often work with experienced professionals, contributing to research projects or business applications while building their technical skills. The role usually requires a solid foundation in mathematics, programming, and analytical thinking.

What is the difference between Internship Mathematical Optimization vs Data Analyst Intern?

AspectInternship Mathematical OptimizationData Analyst Intern
Required CredentialsBasic knowledge of optimization, programming skillsStatistics, data analysis, programming
Work EnvironmentResearch, algorithm development, modelingData collection, reporting, visualization
Industry UsageOperations research, logistics, supply chainBusiness, marketing, finance

Internship Mathematical Optimization focuses on developing and applying algorithms to optimize processes, often in logistics or operations research. Data Analyst Interns analyze and interpret data to support business decisions. While both roles involve data and programming, optimization internships emphasize mathematical modeling, whereas data analysis internships focus on data interpretation and visualization.

What types of projects can I expect to work on during an internship in Mathematical Optimization?

As an intern in Mathematical Optimization, you will typically work on real-world problems that involve designing, implementing, and testing optimization algorithms. Projects may include tasks such as modeling supply chain logistics, scheduling operations, or improving resource allocation for various industries. You'll likely collaborate with data scientists, engineers, and other interns to collect data, build models, and present findings. This hands-on experience helps you develop both technical and teamwork skills, and often includes mentorship from senior optimization experts.

What are the key skills and qualifications needed to thrive as an Internship Mathematical Optimization, and why are they important?

To thrive in an Internship in Mathematical Optimization, you need a solid background in mathematics, particularly in optimization theory, linear algebra, and programming, usually supported by ongoing or completed studies in applied mathematics, engineering, or a related field. Familiarity with optimization software (like Gurobi or CPLEX), programming languages such as Python or MATLAB, and experience with relevant libraries or frameworks is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when solving complex problems and collaborating with teams. These skills are crucial for developing efficient optimization solutions and contributing meaningfully to research or industry projects.
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Internship Mathematical Optimization jobs near you
Infographic showing various Internship Mathematical Optimization job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Quantic - Quantitative Researcher Intern (Summer 2027)

Walleye Capital Internships

Boston, MA • On-site

$20K/mo

Temporary, Internship

Posted 6 days ago

Job description

Position: Quantic - 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 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 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.
  • 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, 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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