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Internship Algorithmic Trading Jobs (NOW HIRING)

Quant Blueprint LLC

Platform Support Engineer

Manhattan, NY · On-site

$165 - $180/hr

... internships focused on Infrastructure Engineering (systems, network, DevOps, infosec, cloud, etc ... algorithmic trading business while honing their technical skills. Students will work closely with ...

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Internship Algorithmic Trading information

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How much do internship algorithmic trading jobs pay per hour?

As of Sep 2, 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 is an internship algorithmic trading?

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 does an internship algorithmic trading do?

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 skills and qualifications are needed for an internship algorithmic trading?

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 August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 5 days ago

Job description

About the Role
Proprietary trading firm based in New York City is seeking a highly motivated New Graduate Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team.
This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented.
The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.
This is a hybrid opportunity based in New York, United States.
Requirements
Responsibilities
- Reason through pricing, risk, and execution decisions.
- Analyze trade outcomes and market behavior with data.
- Build disciplined habits around probability, sizing, and feedback loops.
- Monitor and analyze real-time market data to identify trading opportunities.
- Support the development, testing, and refinement of quantitative trading strategies.
- Make fast, data-informed trading decisions while managing risk.
- Conduct statistical analysis on historical and live market data.
- Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
- Participate in trading simulations, training programs, and strategy review sessions.
- Communicate trade ideas, risks, and performance insights clearly to the team.
- Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
- Final-year student or recent graduate from any degree discipline with strong analytical instincts.
- Comfort with probability, mental math, games, markets, or coding.
- Interest in learning within a fast-feedback trading environment; no prior quant or finance experience is required.
- Final-year student or recent graduate from any degree discipline who is ready to begin a full-time role.
- No specific academic major is required; analytical ability and learning speed matter more than subject studied.
- Strong quantitative, analytical, and problem-solving skills.
- Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
- Ability to make decisions quickly and remain calm under pressure.
- Strong attention to detail, intellectual curiosity, and a disciplined approach to risk.
- Programming experience in Python or a similar language is preferred.
- Prior internship, research, trading competition, or personal project experience is a plus but not required.
- Applicants from every degree discipline are welcome.
- No prior quantitative finance, trading, or investment-industry experience is required.
- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.
- Excellent communication and teamwork skills.
Ideal Candidate
The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.
Benefits
What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
  • Exposure to live markets, real financial datasets, and the full path from idea to implementation.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and measurable impact.
  • Competitive compensation and a benefits package aligned with the employer and location.
  • Competitive compensation and benefits package.

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