Quantitative Systematic Trading Intern

Job Description

About Company

Susquehanna (SIG) is presented as a leading firm in the quantitative finance industry, specifically highlighting its reputation for offering one of the best quant internship programs. The company aims to provide interns with a comprehensive educational experience, exposure to top professionals, and the opportunity to work on real trading strategies, fostering an environment that encourages interns to return for full-time careers.

Job Description: Quantitative Systematic Trading Intern

This internship is designed to immerse PhD candidates in the practical work of full-time quantitative systematic trading professionals. Interns will engage in projects that mirror actual job responsibilities, underpinned by a robust educational program and mentorship from industry experts. The core objective is to enable interns to build alphas on an actual trading strategy.

Key Responsibilities and Activities:

• Modelling: Apply advanced techniques such as probability theory, statistical analysis, and machine learning to predict market behavior and generate profitable trading signals (“alphas”).
• Execution: Develop and implement strategies to execute trading ideas effectively, under conditions that simulate competitive market environments.
• Evaluation: Conduct rigorous backtesting of developed ideas using historical market data and iteratively refine strategies based on performance analysis.
• Breadth: Gain exposure to various facets of quantitative work and explore different business areas within Susquehanna.
• Education: Participate in a structured and comprehensive education program, complemented by personalized mentorship from experienced professionals to accelerate learning and professional growth.
• Collaboration: Work within an open and highly collaborative environment, interacting with multiple teams and gaining exposure to diverse groups and business functions.

What Susquehanna is Looking For:

• Academic Background: PhDs (in their penultimate or final year) from quantitative fields including Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
• Analytical Skills: Strong analytical problem-solvers with excellent logical reasoning and a passion for translating data insights into actionable decisions.
• Communication: Clear and effective communicators capable of thriving in a fast-paced, highly collaborative setting.
• Programming Proficiency: Comfortable processing and analyzing large datasets, with required proficiency in Python and an advantage for experience with C++ (or another low-level language).
• Strategic Thinking: Demonstrated interest in strategic games and/or competitive activities, indicating a strategic mindset.
• Work Ethic: Self-motivated and quick learners who can thrive in dynamic, fast-moving environments.

Logistics and Compensation:

• Automatic Consideration: Applying to this role automatically considers candidates for the Quantitative Research Internship program as well.
• Locations: Opportunities are available in Philadelphia and New York offices.
• Compensation: PhD quantitative systematic trading interns will receive a $6000 weekly base salary during the ten-week program.
• Additional Perks: Interns will also receive a signing bonus, housing, daily breakfast and lunch, and other perks.