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Internship Algorithmic Trading Jobs (NOW HIRING)

Citadel Securities

FPGA Engineer (Intern)

Manhattan, NY · On-site

$4.3K - $4.8K/wk

... internship. Your Objectives: * Design, implement and test FPGA solutions across Citadel Securities' trading businesses * Improve trading system efficiency and performance to accelerate algorithmic ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

... drive our trading and business needs. What You'll Do: Our data engineering internship is an ... Advanced coursework in algorithms & data structures * Exposure to data analytics tools such as ...

Jump Trading

Campus Software Engineer (Intern)

Chicago, IL · On-site

$250K/yr

... drive our trading and business needs. What You'll Do: Our software engineering internship is an ... Advanced coursework in algorithms, network programming, operating systems, compilers * Experience ...

Citadel Securities

FPGA Engineer (Intern)

Miami, FL · On-site

$4.3K - $4.8K/wk

... internship. Your Objectives: * Design, implement and test FPGA solutions across Citadel Securities' trading businesses * Improve trading system efficiency and performance to accelerate algorithmic ...

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How much do internship algorithmic trading jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for internship algorithmic trading in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as an Algorithmic Trading intern?

As an Algorithmic Trading intern, you'll likely be involved in tasks such as data collection and cleaning, backtesting trading strategies, and assisting with the development or enhancement of trading algorithms. You may work closely with quantitative analysts and traders to analyze market trends, evaluate performance metrics, and optimize models. Interns often gain hands-on exposure to programming languages like Python or C++, and collaborate within a fast-paced, team-oriented environment where communication and problem-solving skills are highly valued.

What are internship algorithmic trading positions?

Internship algorithmic trading positions are short-term roles, often offered to students or recent graduates, where individuals learn about and assist in developing, testing, and implementing automated trading strategies using computer algorithms. Interns typically work with quantitative analysts, traders, and software engineers to analyze market data, backtest strategies, and optimize trading models. These internships provide hands-on experience with programming, financial markets, and quantitative analysis, serving as a valuable stepping stone for a career in quantitative finance or trading.

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

To thrive as an Algorithmic Trading Intern, you need strong quantitative skills, proficiency in programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by coursework in mathematics, statistics, finance, or computer science. Familiarity with trading platforms, data analysis tools like MATLAB or R, and sometimes experience with version control systems or Bloomberg Terminal, is highly beneficial. Analytical thinking, attention to detail, and effective communication help interns contribute meaningfully to team projects and adapt quickly in fast-paced environments. These skills enable interns to analyze large datasets, develop trading algorithms, and collaborate efficiently, all of which are crucial for success in algorithmic trading.

What is the difference between Internship Algorithmic Trading vs Internship Quantitative Analysis?

AspectInternship Algorithmic TradingInternship Quantitative Analysis
Required CredentialsStrong programming skills, basic finance knowledge, often pursuing degrees in finance, computer science, or engineeringMathematical and statistical skills, degrees in mathematics, statistics, or related fields, programming skills beneficial
Work EnvironmentFast-paced trading firms, hedge funds, or proprietary trading desksFinancial institutions, research firms, or investment banks
Employer & Industry UsageCommon in trading firms and hedge funds focused on developing trading algorithmsUsed across finance sectors for data analysis, model development, and research

Internship Algorithmic Trading focuses on developing and implementing trading algorithms, requiring programming and finance knowledge. Internship Quantitative Analysis emphasizes data analysis and statistical modeling to inform investment decisions. Both roles involve quantitative skills but differ in their primary focus and work environment.

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Internship Algorithmic Trading jobs near you
Infographic showing various Internship Algorithmic Trading job openings in the United States as of July 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 $35,995 per year, or $17.3 per hour.

Quantic - Quantitative Developer Intern (Summer 2027)

Walleye Capital Internships

Boston, MA • On-site

$20K/mo

Temporary, Internship

Posted 22 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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