Quantitative Systematic Trading Intern

Job Description

About Susquehanna (SIG)

Susquehanna is a prominent trading firm that operates in the financial industry, specifically in quantitative systematic trading. They are known for their advanced quantitative approach, utilizing complex models, statistical analysis, and machine learning to predict market behavior and execute trading strategies. The company emphasizes a strong commitment to education and mentorship, aiming to provide a leading quantitative internship program in the industry, which often leads to full-time career opportunities for their interns. They maintain offices in key financial hubs, including Philadelphia and New York.

Job Description: Quantitative Systematic Trading Intern

This internship offers a hands-on experience mirroring the work of full-time employees within Susquehanna’s quantitative systematic trading division. Interns will engage in a comprehensive educational program, receive personalized mentorship from industry experts, and build foundational knowledge in quantitative finance. A key aspect of the role involves building alphas (predictive signals) on actual trading strategies.

Key Responsibilities & Expectations:

• Modelling: Apply advanced quantitative techniques, including probability theory, statistical analysis, and machine learning, to predict market behavior and develop profitable trading signals (alphas).
• Execution: Design and create robust strategies for executing modelling ideas, operating within a simulated competitive environment to refine approaches.
• Evaluation: Rigorously backtest developed ideas using extensive historical market data to assess their performance and identify areas for revision and improvement.
• Breadth: Explore diverse facets of quantitative work and gain exposure to various areas of Susquehanna’s broader business operations.
• Education & Mentorship: Participate in a structured and comprehensive education program. Interns will benefit from personalized mentorship from experienced professionals, designed to accelerate their growth in quantitative finance.
• Collaboration: Work within an open and highly collaborative environment, facilitating interaction with multiple teams and providing exposure to different groups and parts of the business.

Susquehanna positions this as the best quantitative internship program in the industry, citing the combined experience of practical application, comprehensive education, and mentorship.

What Susquehanna is Looking For:

• Education: Candidates must be in their penultimate or final year of a Master’s degree program in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
• Analytical Skills: Strong analytical problem-solvers with excellent logical reasoning abilities and a genuine passion for transforming data into actionable decisions.
• Communication: Clear and effective communicators capable of thriving in a fast-paced and highly collaborative work environment.
• Programming: Proficiency in programming, specifically comfortable with processing and analyzing large datasets using Python. Experience with C++ (or another low-level language) is considered a significant plus.
• Strategic Thinking: Individuals who demonstrate a strong interest in strategic games and/or competitive activities, indicating strategic thought processes.
• Work Ethic: Self-motivated individuals who are quick learners and can thrive in dynamic, fast-moving environments.

Additional Information:

• Applying for this role automatically considers candidates for the Quantitative Research Internship program as well, eliminating the need for separate applications.
• Internship opportunities are available in Susquehanna’s Philadelphia and New York offices.
• Compensation & Benefits: Master’s quantitative systematic trading interns will receive a competitive weekly base salary of $5700 during the ten-week program. In addition, interns will receive a signing bonus, provided housing, daily breakfast and lunch, and various other perks.