Quantitative Systematic Trading Internship – Master's: 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

Lunch

Job summary

SIG Susquehanna is offering a Quantitative Systematic Trading Internship in New York. Interns will work on projects that model the work of full-time employees and participate in an extensive educational program paired with mentorship.

The role involves applying statistical analysis and machine learning to market behavior, strategy execution, and backtesting methodologies. Candidates should be pursuing a Master’s in a quantitative field and have programming skills in Python.

Compensation includes a weekly base salary of $8600, along with a signing bonus and other perks.

Qualifications

• Masters (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
• Self-motivated and quick to learn, thriving in a dynamic, fast-moving environment.
• Clear communicators in a fast-paced and highly collaborative environment.

Responsibilities

• Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas.
• Create strategies to execute on modelling ideas under simulated competition.
• Backtest ideas using historical market data and revise strategies.

Skills

Analytical problem-solving

Python programming

Statistical analysis

Machine learning

Logical reasoning

Education

Master's in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics

Tools

Python

C++

Job description

Overview

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

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
• 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 a dynamic, fast-moving environment

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.