Quantitative Researcher: ML Models & Alpha Signals

Trading Interview; Northern (KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Visa sponsorship

Education program

Job summary

Susquehanna is seeking a Quantitative Researcher to design, validate, backtest, and implement statistical and ML models for trading strategies. You will generate alpha signals, improve robustness, and collaborate with traders and technologists in production environments.

Ideal candidates hold PhDs by Summer 2026 or postdocs in quantitative fields, with strong Python skills and C++ as a plus. Visa sponsorship is available, and mentorship will accelerate your growth within a collaborative,

Qualifications

• PhDs graduating by Summer 2026 or postdocs 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.
• Proficient in Python; C++ experience is a plus and helpful for processing large data sets.

Responsibilities

• Build and backtest statistical and machine learning models for alpha signals and trading strategies.
• Evaluate strategy performance and contribute to production-ready implementations.
• Collaborate with systematic traders and technologists in a fast-paced environment.
• Engage in continuous education and mentorship programs to accelerate growth.

Skills

Python

C++

Analytical thinking

Communication

Education

PhD or postdoc in quantitative field

Job description

Susquehanna is seeking a Quantitative Researcher to design, validate, backtest, and implement statistical and ML models for trading strategies. You will generate alpha signals, improve robustness, and collaborate with traders and technologists in production environments.

Ideal candidates hold PhDs by Summer 2026 or postdocs in quantitative fields, with strong Python skills and C++ as a plus. Visa sponsorship is available, and mentorship will accelerate your growth within a collaborative,