Quantitative Systematic Trading Internship – PhD: Summer 2027

Trading Interview; New York (NY); On-site; USD 348,000 - 434,000; Full time

Benefits offered by this job

Signing bonus

Housing

Breakfast and lunch

Other perks

Job summary

Susquehanna seeks a Quantitative Systematic Trading Intern to model work done by full-time staff and participate in a rigorous education program.

You will build alphas on trading strategies, backtest ideas, and collaborate across teams while being mentored by leading professionals in the field.

Qualifications

• PhDs in final or penultimate year in quantitative fields.
• Strong analytical and data-driven problem solving.
• Clear communication in a fast-paced, collaborative environment.
• Programming in Python; C++ or similar language is a plus.
• Interest in strategic games or competitive activities.

Responsibilities

• Model market behavior and generate alphas with probability theory and ML.
• Backtest ideas using historical data and refine strategies.
• Collaborate with multiple teams across Susquehanna’s business.
• Participate in a comprehensive education program with mentors.

Skills

Python programming

Data analysis

Machine learning

Quantitative Finance

C++

Education

PhD in Mathematics/Physics/Statistics/Engineering/Economics

Job description

As a Quantitative Systematic Trading Intern at Susquehanna, 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

• PhDs (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.

Compensation and Perks

• PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week program.
• Signing bonus
• Housing
• Breakfast and lunch
• 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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