Quantitative Research Intern – PhD Program

About Susquehanna

Susquehanna (SIG) is a global quantitative trading firm driven by scientific rigor, curiosity, and innovation. Our culture fosters an intellectually stimulating and highly collaborative environment, bringing together top-tier researchers, engineers, and traders. We design and deploy impactful strategies within our systematic trading framework, leveraging machine learning and advanced quantitative research on vast datasets to uncover actionable insights. By uniting deep market expertise with cutting-edge technology, Susquehanna excels in solving complex problems and continuously pushing boundaries.

Job Overview

As a Quantitative Research Intern at Susquehanna, you will engage in projects designed to mirror the work of our full-time quantitative researchers. This comprehensive internship includes a structured education program and direct interaction with mentors who are leaders in their field, providing a robust foundation in quantitative finance. You will have the unique opportunity to build alphas on an actual trading strategy, making a tangible impact within the program.

What You Can Expect (Key Responsibilities & Learning Opportunities)

• Modelling: Apply advanced techniques from probability theory, statistical analysis, and machine learning to predict market behavior and generate trading alphas.
• Execution: Develop and refine strategies for executing modelling ideas, operating under simulated competitive conditions.
• Evaluation: Rigorously backtest developed ideas using extensive historical market data and iteratively revise strategies based on performance.
• Breadth of Experience: Explore the full spectrum of quantitative work and gain exposure to diverse areas of Susquehanna’s business operations.
• Education & Mentorship: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals, designed to accelerate your professional growth.
• Collaboration: Work within an open and highly collaborative environment, interacting with multiple teams and gaining exposure to different groups and parts of the business.

Susquehanna is committed to providing an unparalleled quantitative internship experience, frequently cited as the best in the industry. Many previous quant interns choose to return for full-time careers, a testament to the program’s quality and impact.

What We’re Looking For (Qualifications)

Academic Background:

• PhDs (in penultimate or final year) in highly quantitative fields such as:
  • Mathematics
  • Physics
  • Statistics
  • Electrical Engineering
  • Computer Science
  • Operations Research
  • Economics

Key Skills & Attributes:

• Analytical Problem-Solvers: Possess excellent logical reasoning abilities and a strong passion for transforming data into actionable decisions.
• Clear Communicators: Able to articulate complex ideas effectively in a fast-paced, highly collaborative environment.
• Proficient Programmers: Comfortable processing and analyzing large datasets, with strong skills in Python. Experience with C++ (or another low-level language) is a significant plus.
• Strategic Thinkers: Demonstrated interest in strategic games and/or competitive activities.
• Self-Motivated Learners: Highly self-motivated, quick to learn, and capable of thriving in dynamic, fast-moving environments.

Compensation & Benefits

• Weekly Base Salary: PhD quantitative research interns will receive a $6000 weekly base salary during the ten-week program.
• Additional Perks: Interns will also receive:
  • A signing bonus
  • Provided housing
  • Complimentary breakfast and lunch
  • Other competitive perks

Location

Opportunities for quantitative research interns are available in our Philadelphia and New York offices.

Application Note

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

If you’re a recruiting agency and wish to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.