Quant Research Internship — Mentored Training & Alpha Modeling

Tradermath; Northern (KY); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Susquehanna invites aspiring Quantitative Research Interns to join a comprehensive education-driven program with mentors at the forefront of quantitative finance. Interns will model market behavior, develop alphas, and backtest ideas using historical data in a collaborative environment.

The role emphasizes Python programming, potential C++ experience, and strong analytical skills, with exposure to multiple teams and a pathway to full-time opportunities.

Qualifications

• Must be enrolled in a Masters program in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
• Analytical problem-solvers with logical reasoning and data-driven decision making.
• Clear communicators in fast-paced, collaborative environments.
• Proficient in Python; experience with C++ or other low-level language is a plus.
• Strategic thinkers with interest in competitive activities.
• Self-motivated learner thriving in dynamic environments.

Responsibilities

• Model market behavior using probability, statistics, and ML techniques to generate alphas.
• Create strategies to implement modelling ideas in simulated environments.
• Backtest ideas using historical data and refine strategies.
• Explore multiple quant domains across Susquehanna’s business areas.
• Participate in a comprehensive education program with mentorship.
• Collaborate across teams to gain cross-functional exposure.

Skills

Python

C++

Analytical problem solving

Clear communication

Team collaboration

Education

Masters in quantitative fields

Tools

Python libraries

Job description

Susquehanna invites aspiring Quantitative Research Interns to join a comprehensive education-driven program with mentors at the forefront of quantitative finance. Interns will model market behavior, develop alphas, and backtest ideas using historical data in a collaborative environment.

The role emphasizes Python programming, potential C++ experience, and strong analytical skills, with exposure to multiple teams and a pathway to full-time opportunities.