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Internship High Frequency Trading Software Engineer Jobs

Trading Interview

$150 - $200/hr

... Mathematics, Engineering, etc. * Experience developing software systems in an object-oriented ... Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.

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How much do internship high frequency trading software engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship high frequency trading software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does an internship high frequency trading software engineer do?

An Internship High Frequency Trading (HFT) Software Engineer is responsible for assisting in the design, development, and optimization of software used in electronic trading systems. These interns work closely with senior engineers and traders to build low-latency, high-performance applications that execute trades at extremely fast speeds. Their tasks often include coding, performance tuning, testing, and sometimes analyzing large datasets to improve trading strategies. The role provides hands-on experience with advanced programming, financial markets, and real-time data processing.

What are the key skills and qualifications needed to thrive as an internship high frequency trading software engineer?

To thrive as an Internship High Frequency Trading Software Engineer, you need strong programming skills (especially in C++ or Python), a solid foundation in computer science concepts, and coursework or experience in quantitative analysis. Familiarity with Linux systems, version control tools like Git, and exposure to low-latency programming or financial market data feeds are typically required. Outstanding problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and qualities are crucial for developing efficient trading algorithms, maintaining reliable systems, and succeeding in a fast-paced, competitive trading environment.

What types of projects and responsibilities can I expect as an internship high frequency trading software engineer?

As an Internship High Frequency Trading (HFT) Software Engineer, you can expect to work on projects that involve developing, testing, and optimizing low-latency trading systems. Interns often contribute to codebases that handle real-time data processing, work on performance profiling, and assist with the implementation of trading algorithms. You’ll typically collaborate closely with experienced engineers, quantitative researchers, and traders to address technical challenges and gain exposure to the intricacies of electronic trading. This fast-paced environment emphasizes problem-solving, teamwork, and continuous learning, providing interns with a strong foundation for growth in both software engineering and the finance industry.

What is the difference between Internship High Frequency Trading Software Engineer vs Internship Quantitative Analyst?

AspectInternship High Frequency Trading Software EngineerInternship Quantitative Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsMathematics, Statistics, or Finance background
Work EnvironmentFast-paced trading firms, tech-driven teamsFinancial institutions, research teams
Industry UsageDevelops trading algorithms, low-latency systemsBuilds models, analyzes market data

Both roles are common internships in trading firms, but the Software Engineer focuses on developing trading systems and algorithms, while the Quantitative Analyst emphasizes data analysis and model development. The Software Engineer role requires strong programming skills, whereas the Quantitative Analyst leans more on mathematical expertise.

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Internship High Frequency Trading Software Engineer jobs near you
Infographic showing various Internship High Frequency Trading Software Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Junior Algorithmic Trader

Grupo Oricteropo Tropical

Aguadilla, PR • On-site

$59K - $77K/yr

Full-time

Re-posted 2 days ago

Job description

Description

Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve trading strategies. As a Junior Algorithmic Trader, you will have the opportunity to experience relative value arbitrage trading paired with innovative software. You will partner with Senior Traders to assist and learn all facets of automated trading. From researching and analyzing high-frequency tick data and trading performance, to building mathematical models and performing time series analysis, you will experience a deep dive into real-time trading and gain exposure to build your expertise. The ideal candidate is intellectually curious, technically analytical, and has the desire to learn and apply programming skills in a fast-paced environment (Python, C++). 

Responsibilities

  • Work with Senior Algorithmic Traders to assist and learn all facets of automated trading
  • Develop expertise in market microstructure, tick data, and automated trading systems
  • Learn and master object-oriented programming languages (C++ and Python)
  • Build and maintain trading quantitative model tools and analytics
  • Develop, code, maintain and support production quality automated trading software and strategies
  • Improve strategies and trade execution by performing post trade analyses and developing prediction models

Requirements

  • Pursuing a Bachelor's, Master's, or Doctorate in a technical field, such as but not limited to STEM or Finance, with a graduation date between December 2026 and Spring 2027, or 1-2 years of pertinent industry experience 
  • Required courses: Data structures, Probability, Statistics, and Linear Algebra
  • Minimum major GPA of 3.5/4 or equivalent scale
  • Proficiency and experience in object-oriented programming languages, C++, Python, and/or Java preferred 
  • Proficiency and experience in Linux scripting are a plus
  • Demonstrated passion for markets, finance, and trading, such as, but not limited t,o personal trading, participation in trading competitions, attendance at firm discovery days, industry-related student groups or clubs, and/or prior internship experience preferred 
  • Project or internship experience in data analysis, quantitative modeling, and/or machine learning
  • Passion for math and software applied to markets and trading
  • Strong understanding of computing, math, probability, statistics, and finance
  • Strong work ethic and willingness to do what it takes to get the job done
  • Excellent verbal and written communication skills
  • Ability to work within a team in a fast-paced environment
  • This position requires physical presence and is onsite at our office in Aguadilla, PR

View our resources to prepare for the interview process

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