Quantitative Systematic Trading Internship - Mentorship

Tradermath; United States; On-site; USD 34,000 - 48,000; Full time

Job summary

Susquehanna is seeking a Quantitative Systematic Trading Intern to work on projects that mirror full-time guidance. You will join a robust education program, work with mentors, and build alphas for actual trading strategies in a collaborative, open environment.

Ideal candidates are pursuing a Masters in quantitative fields, proficient in Python, and with exposure to C++. You will receive structured mentorship and exposure to multiple teams across the firm.

Qualifications

• Masters in quantitative fields (e.g., Mathematics, Physics, Statistics, Economics).
• Strong analytical problem-solving with data-driven decision skills.
• Clear communication in a fast-paced, collaborative setting.
• Proficiency in Python; experience with C++ or a low-level language is a plus.
• Interest in strategic games or competitive activities.
• Self-motivated and quick to learn in a dynamic environment.

Responsibilities

• Model market behavior using probability, statistics, and ML techniques to generate alphas.
• Develop and test trading ideas in simulated environments.
• Backtest ideas with historical data and refine strategies.
• Collaborate across teams to understand and improve quant work.

Skills

Python

C++

Education

Masters in quantitative fields

Tools

Python

Job description

Susquehanna is seeking a Quantitative Systematic Trading Intern to work on projects that mirror full-time guidance. You will join a robust education program, work with mentors, and build alphas for actual trading strategies in a collaborative, open environment.

Ideal candidates are pursuing a Masters in quantitative fields, proficient in Python, and with exposure to C++. You will receive structured mentorship and exposure to multiple teams across the firm.