Quantitative Research Intern: ML Modeling & Alphas

Susquehanna International Group; New York (NY); On-site; USD 348,257 - 434,343; Full time

Benefits offered by this job

Signing bonus

Housing

Breakfast and lunch

Other perks

Job summary

Susquehanna International Group offers a Quantitative Research Internship in Philadelphia or New York. You will model the work of full‑time staff and participate in a comprehensive education program with mentors.

You will build alphas on real trading strategies, backtest ideas, and collaborate across teams. This role targets master's students in quantitative fields, with Python programming and C++ as a plus.

Qualifications

• Masters in penultimate or final year in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
• Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions.
• Clear communicators in a fast-paced and highly collaborative environment.

Responsibilities

• Modeling: Apply probability theory, statistical analysis, and machine learning to predict market behavior and generate alphas.
• Execution: Create strategies to execute modelling ideas under simulated competition.
• Evaluation: Backtest ideas using historical market data and revise strategies.
• Breadth: Explore all aspects of quant work and different areas of Susquehanna’s business.
• Education: Participate in a comprehensive education program and receive personalized mentorship.
• Collaboration: Work in an open environment with multiple teams and groups.

Skills

Mathematics

Statistics

Machine learning

Problem solving

Communication

Teamwork

Education

Masters in quantitative field

Tools

Python

C++

Job description

Susquehanna International Group offers a Quantitative Research Internship in Philadelphia or New York. You will model the work of full‑time staff and participate in a comprehensive education program with mentors.

You will build alphas on real trading strategies, backtest ideas, and collaborate across teams. This role targets master's students in quantitative fields, with Python programming and C++ as a plus.