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Machine Learning Trading Intern Jobs (NOW HIRING)

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... You enjoy solving complex problems, thinking strategically, learning from feedback, and working in ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... You enjoy solving complex problems, thinking strategically, learning from feedback, and working in ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... You enjoy solving complex problems, thinking strategically, learning from feedback, and working in ...

The Energy Authority Inc

Trading Intern, East

Jacksonville, FL · On-site

$13.75 - $18.50/hr

Join our team as a Trading Intern! Are you ready to dive into the fast-paced world of commodity ... If you're excited about the prospect of making an impact in the energy sector while learning from ...

Susquehanna

$8.6K/wk

Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that ... Modelling. Apply probability theory, statistical analysis, and machine learning techniques to ...

Susquehanna

$8.6K/wk

Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that ... Modelling. Apply probability theory, statistical analysis, and machine learning techniques to ...

Susquehanna

$8.6K/wk

Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that ... Modelling. Apply probability theory, statistical analysis, and machine learning techniques to ...

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Machine Learning Trading Intern information

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$25.5K

$42.6K

$88K

How much do machine learning trading intern jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning trading intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What does a machine learning trading intern do?

A Machine Learning Trading Intern assists in developing, testing, and implementing machine learning models to analyze financial data and inform trading strategies. They work with quantitative researchers and traders to identify patterns in data, optimize algorithms, and backtest trading ideas. The role often involves programming, data analysis, and collaborating with other team members to improve the firm's trading performance. Interns gain hands-on experience with real-world financial datasets and cutting-edge technology in the field of quantitative finance.

What are the key skills and qualifications needed to thrive as a machine learning trading intern, and why are they important?

To thrive as a Machine Learning Trading Intern, you need a strong background in quantitative analysis, programming (Python or C++), and foundational knowledge of financial markets, often supported by coursework in mathematics, statistics, or computer science. Familiarity with data analysis tools like Pandas, NumPy, and machine learning libraries such as TensorFlow or scikit-learn, as well as experience with version control systems like Git, is essential. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in collaborative and fast-paced environments. These skills are crucial for developing, testing, and optimizing trading algorithms that can efficiently respond to dynamic market conditions.

What types of projects and responsibilities can a machine learning trading intern expect to work on during their internship?

As a Machine Learning Trading Intern, you can expect to work on projects such as developing and backtesting trading algorithms, analyzing large financial datasets, and implementing predictive models to support trading strategies. Interns often collaborate closely with quantitative researchers, traders, and software engineers, gaining hands-on experience in applying machine learning techniques to real market data. The role frequently involves coding in languages like Python, using libraries such as pandas and scikit-learn, and participating in team meetings to discuss model performance and potential improvements. This exposure offers valuable insight into both the technical and business aspects of quantitative trading.

What are popular job titles related to Machine Learning Trading Intern jobs?

For Machine Learning Trading Intern jobs, the most frequently searched job titles are:

Quantitative Systematic Trading Internship - Master's: Summer 2027

Manhattan, NY • On-site

Trading Interview
See more jobs at Trading Interviewexternal

$8.6K/wk

Other

Posted 8 days ago

Key responsibilities

  • Model market behavior and generate alphas using probability theory, statistical analysis, and machine learning techniques.

  • Create and backtest trading strategies based on modeling ideas using historical market data.

  • Participate in a comprehensive education program, collaborate with multiple teams, and interact with mentors to develop foundational knowledge in quantitative finance.

Job description

As a Quantitative Systematic Trading Intern atSusquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution. Create strategies to execute on modelling ideas under simulated competition
  • Evaluation. Backtest ideas using historical market data and revise strategies
  • Breadth. Explore all aspects of quant work and different areas of Susquehanna’s business
  • Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehannacombines all of the above to provide the best quant internship program in the industry.Join us to see why so many previous quant interns decide to return for a full-time career.

What we’re looking for
  • Masters (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmerscomfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.

Opportunities as a quantitative systematic trading intern will be available in our Philadelphia and New York offices.

Master’s quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

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