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Internship Algorithmic Trading Jobs (NOW HIRING)

... 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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Internship Algorithmic Trading information

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How much do internship algorithmic trading jobs pay per hour?

As of Jul 3, 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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Infographic showing various Internship Algorithmic Trading job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
FPGA Engineer (Intern)

$4.3K - $4.8K/wk

Full-time

Posted 11 days ago


Job description

At Citadel Securities, a leading global market maker, our team of FPGA Engineers work in small teams to create the next generation FPGA solutions to support ultra-low latency trading systems across the firm. FPGA Engineers work closely with business leaders to design and deploy FPGA solutions that help optimize trading system performance. As an intern, you’ll get to challenge the impossible in technology through an 11-week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship. Your Objectives:

  • Design, implement and test FPGA solutions across Citadel Securities’ trading businesses
  • Improve trading system efficiency and performance to accelerate algorithmic trade signal generation and order execution
  • Work in small teams to build the future of finance

Your Skills & Talents:

  • A deep passion for technology and hardware development
  • Pursuing a Bachelor’s, Master’s or PhD in Electrical Engineering, Computer Engineering or related fields
  • Experienced in RTL Design (SystemVerilog preferred). Python, C, Tcl, and Bash a plus.
  • Experience in one or more of the following areas: Hardware Architecture, Simulation, Systems Integration, Hardware Validation and Testing, FPGA Synthesis, and Static Analysis
  • Strong written and verbal communication skills
  • Intellectual curiosity and passion for solving challenging problems using technology

Opportunities available in New York.

In accordance with applicable law, the base salary range for this role is $4,300 to $4,800 per week.

About Citadel Securities

Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market’s most critical challenges, turning big ideas into real-world outcomes.