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Internship Algorithmic Trading Programmer Jobs (NOW HIRING)

Anson McCade

Junior Quantitative Trader

Chicago, IL · On-site

Their team spans trading, engineering, and business operations, working together to build and ... algorithmic trading models from ideation through production deployment • Analyze market ...

Anson McCade

Index Trader

Chicago, IL · On-site

Their team spans trading, engineering, and business operations, working together to build and ... algorithmic trading models from ideation through production deployment • Analyze market ...

DV Trading

Software Developer (Chicago)

Chicago, IL · On-site

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

Eagle Seven

Junior Trader

Chicago, IL · On-site

Executing algorithmic trading strategies in accordance with the trading desk's objectives ... Bachelor's degree in business/finance, statistics, mathematics, engineering, or related field * 0-2 ...

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How much do internship algorithmic trading programmer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship algorithmic trading programmer in the United States is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $43.27 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on as an internship algorithmic trading programmer?

As an Internship Algorithmic Trading Programmer, you can expect to work on tasks such as coding and backtesting trading algorithms, analyzing financial market data, and optimizing strategies for performance. Interns often collaborate closely with quantitative analysts and senior developers, learning industry-standard tools and platforms. Your daily responsibilities may include debugging code, running simulations, and documenting your findings. This hands-on experience provides excellent exposure to the fast-paced trading environment and is a valuable stepping stone to full-time roles in quantitative finance.

What is an internship algorithmic trading programmer?

Internship Algorithmic Trading Programmers are students or early-career professionals who work as interns in financial firms to help develop, test, and implement automated trading strategies using programming and quantitative analysis. They typically work under the supervision of experienced traders or quantitative analysts, using programming languages like Python, C++, or Java to code algorithms that trade financial instruments. These internships provide valuable hands-on experience in financial markets, algorithm development, and risk management, helping interns build the skills needed for a career in quantitative finance or trading technology.

What is the difference between Internship Algorithmic Trading Programmer vs Quantitative Trading Intern?

AspectInternship Algorithmic Trading ProgrammerQuantitative Trading Intern
Required CredentialsBasic programming skills, coursework in algorithms or financeStrong math, statistics, or finance background
Work EnvironmentDeveloping trading algorithms, coding, testing strategiesData analysis, model development, research
Industry UsageCommon in trading firms, hedge funds, investment banksSimilar, often overlapping roles in finance firms

Both roles involve finance and programming, but the Internship Algorithmic Trading Programmer focuses more on coding and implementing trading algorithms, while the Quantitative Trading Intern emphasizes data analysis and quantitative research. The roles are closely related and often overlap in industry usage.

What are the key skills and qualifications needed to thrive as an internship algorithmic trading programmer, and why are they important?

To thrive as an Internship Algorithmic Trading Programmer, you need strong programming skills (typically in Python, C++, or Java), a solid grasp of algorithms, and foundational knowledge in mathematics or finance, often supported by ongoing studies in computer science, engineering, or related fields. Familiarity with version control systems (like Git), data analysis tools (such as Pandas or NumPy), and exposure to trading platforms or APIs is advantageous. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and troubleshooting complex problems. These skills ensure the development of robust, efficient trading algorithms and contribute to the competitiveness and reliability of trading strategies.
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Internship Algorithmic Trading Programmer jobs near you
Infographic showing various Internship Algorithmic Trading Programmer job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $76,712 per year, or $36.9 per hour.

Junior Quantitative Trader

Anson McCade

Chicago, IL • On-site

Full-time

Re-posted 1 hour ago

Job description

$175,000 USD
Discretionary Bonus
Onsite WORKING
Location: Chicago, Illinois - United States Type: Permanent
Our client is a proprietary trading firm specializing in electronic options market making. They take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Their team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. They emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
They operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
• Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
• Build and refine algorithmic trading models from ideation through production deployment
• Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
• Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
• Manage real-time risk across a diversified portfolio of options positions
Qualifications and skills:
• Previous experience trading (1-2 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
• BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
• Exceptional attention to detail
• Excellent quantitative and analytical skills
• Ability to take on many responsibilities quickly with a high degree of operational excellence
• Strong python programming skills

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