Quantitative Researcher: ML Models & Alpha Signals

Trading Interview; Pennsylvania; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Susquehanna is seeking a Quantitative Researcher to design, validate, backtest, and implement statistical and ML models for alpha signals and strategy enhancements. You will work across large-scale data analysis, model robustness, and collaboration with traders and technologists to productionize ideas.

The role emphasizes long-term reliability, rigorous research, and a strong education program, with visa sponsorship available and onsite work in a collaborative environment.

Qualifications

• Masters graduating by Summer 2026 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.
• Programmers comfortable processing and analyzing large data sets in Python; experience with C++ is a plus.
• Strategic thinkers with demonstrated interests in strategic games and/or competitive activities.
• Self-motivated and quick to learn, thriving in dynamic, fast-moving environment.

Responsibilities

• Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas.
• Evaluation. Backtest ideas using historical market data and large research clusters
• Education. Participate in a comprehensive education program and receive mentorship from senior professionals
• Collaboration. Work with systematic traders and technologists to push strategies into production

Skills

Python

C++

Data analysis

Communication

Education

Master's degree in quantitative field

Job description

Susquehanna is seeking a Quantitative Researcher to design, validate, backtest, and implement statistical and ML models for alpha signals and strategy enhancements. You will work across large-scale data analysis, model robustness, and collaboration with traders and technologists to productionize ideas.

The role emphasizes long-term reliability, rigorous research, and a strong education program, with visa sponsorship available and onsite work in a collaborative environment.