Quantitative Systematic Trading Internship - PhD: Summer 2027

SIG Susquehanna; New York (NY); On-site; USD 348,257 - 434,343; Full time

Benefits offered by this job

Signing bonus

Housing

Breakfast and lunch

Job summary

SIG Susquehanna is offering a Quantitative Systematic Trading Internship in New York, where you will model trading strategies and receive mentorship from industry experts. The program emphasizes collaboration in an open environment and covers all aspects of quantitative trading.

Ideal candidates are PhD students in quantitative fields who are analytical problem-solvers with programming expertise in Python and a passion for strategic thinking. Interns will earn a competitive $8600 weekly base salary plus additional perks.

Qualifications

• Must be in penultimate or final year of a PhD program.
• Ability to apply probability theory and statistical techniques.
• Strong communication skills in collaborative work environments.

Responsibilities

• Model market behavior using data analysis and machine learning.
• Execute strategies based on quantitative models.
• Backtest strategies with historical market data.
• Collaborate with multiple teams across the organization.

Skills

Analytical problem-solving

Statistical analysis

Machine learning

Python programming

C++ programming

Logical reasoning

Education

PhD in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics

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

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.

PhD 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.