Quantitative Systematic Trading Internship – PhD: Summer 2027

Trading Interview; Northern (KY); Hybrid; USD 25,000 - 36,000; Full time

Benefits offered by this job

Mentorship program

Education program access

Job summary

Susquehanna is offering a Quantitative Systematic Trading Internship where you will work on projects that model the work of full-time employees, learn through a formal education program, and receive mentorship from top professionals. You will have opportunities to build alphas on actual trading strategies and collaborate with multiple teams across the firm.

Ideal candidates are PhD students in quantitative fields, strong problem-solvers, and proficient in Python with knowledge of C++ being a

Qualifications

• PhDs in quantitative fields (penultimate or final year)
• Analytical problem-solvers with strong data-to-decision skills
• Clear communicators in a fast-paced, collaborative environment
• Programmers comfortable with large data sets in Python; C++ a plus

Responsibilities

• Model market behavior and generate alphas using probabilistic and ML methods
• Backtest ideas using historical data and refine strategies
• Collaborate across teams and explore breadth of quant work
• Participate in a comprehensive education program with mentorship

Skills

Analytical thinking

Clear communication

Self-motivated

Quick learner

Collaborative mindset

Education

PhD in Mathematics/Physics/Statistics/EE/CS/OR/Economics

Tools

Python

C++

Job description

Job Type Internship

Posted 4 months ago

The role

Job description

Overview

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

Susquehanna combines 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
• Programmers comfortable 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.

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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