Quantitative Systematic Trading Intern

Job Description

About company

Susquehanna is a leading firm in the financial industry, particularly recognized for its expertise in quantitative systematic trading. It is committed to fostering talent, exemplified by what it describes as the “best quant internship program in the industry,” which consistently attracts interns who often return for full-time careers. The company emphasizes a culture of education, mentorship, and collaboration, providing an open environment where professionals can accelerate their growth and gain broad exposure to different aspects of the business. Susquehanna values rigorous analytical thinking, data-driven decision-making, and strategic thinking in its pursuit of market insights and trading strategies.

Job description, detailed

Role: Quantitative Systematic Trading Intern

Overview:
As a Quantitative Systematic Trading Intern at Susquehanna, you will be immersed in projects that closely simulate the work performed by full-time employees. The internship is structured around a comprehensive education program complemented by personalized mentorship from leading professionals in the field, designed to build a strong foundational knowledge in quantitative finance. A key aspect of this role is the practical opportunity to build alphas on an actual trading strategy, providing real-world experience and impact.

Key Responsibilities and Activities (What You Can Expect):

• Modelling: You will apply advanced techniques including probability theory, statistical analysis, and machine learning to predict market behavior and generate predictive alphas.
• Execution: Develop and implement strategies to effectively execute on modelling ideas within a simulated competitive environment.
• Evaluation: Conduct thorough backtesting of ideas using historical market data, followed by iterative revision of strategies based on performance analysis.
• Breadth: Gain a wide understanding by exploring all facets of quant work and various business areas within Susquehanna.
• Education: Participate actively in a structured and comprehensive education program, enhancing your theoretical and practical knowledge.
• Mentorship: Receive personalized guidance and mentorship from experienced professionals, designed to significantly accelerate your professional growth.
• Collaboration: Work in an open and highly collaborative environment, engaging with multiple teams and gaining exposure to diverse groups and parts of the business.

Desired Qualifications (What We’re Looking For):

• Education: Candidates must be PhDs (in their penultimate or final year) from quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
• Analytical Skills: Demonstrated ability as an analytical problem-solver with excellent logical reasoning and a genuine passion for transforming data into actionable decisions.
• Communication Skills: Possess clear communication abilities, capable of thriving in a fast-paced and highly collaborative environment.
• Programming Proficiency:
• Comfortable processing and analyzing large datasets using Python.
• Experience with C++ (or another low-level language) is considered a significant plus.
• Strategic Thinking: Exhibited interests in strategic games and/or competitive activities, indicating a strong aptitude for strategic thinking.
• Work Ethic: Self-motivated and a quick learner, capable of thriving in dynamic and fast-moving environments.

Note: By applying to this position, you will automatically be considered for the Quantitative Research Internship program. It is not necessary to apply to both positions.