Quantitative Researcher – Master's: 2027

SIG Susquehanna; Pennsylvania; On-site; USD 80,000 - 120,000; Full time

Job summary

SIG Susquehanna is looking for a Quantitative Researcher based in Pennsylvania to develop and implement advanced statistical models. This role requires strong research capabilities along with programming skills in Python.

The ideal candidate is a Master's graduate in a quantitative field, passionate about problem-solving, and eager to collaborate in a dynamic environment. Participation in an education program and personalized mentorship will support your growth within the firm.

Qualifications

• Master's degree in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics expected by Summer 2026.
• Exceptional logical reasoning and problem-solving abilities.
• Strong communication skills in a collaborative environment.
• Comfortable with large data sets and programming in Python.
• Strategic thinking and interest in competitive activities.

Responsibilities

• Design and implement statistical and advanced machine learning models.
• Backtest strategies using historical market data.
• Participate in education programs and receive mentorship.
• Collaborate with traders and technologists on production strategies.

Skills

Analytical problem-solving

Statistical analysis

Machine learning techniques

Programming in Python

C++ knowledge

Education

Master's in quantitative fields

Job description

Overview

As a Quantitative Researcher at Susquehanna, you’ll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.

What you can expect

• Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas. Propose improvements or optimize existing strategies.
• Evaluation. Backtest ideas using historical market data and large research clusters.
• Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth.
• Collaboration. Work in an open environment that allows you to collaborate with systematic traders and technologists to push strategies into production.

What we're looking for

• 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++ (or another low-level language) is a plus.
• Strategic thinkers with demonstrated interests in strategic games and/or competitive activities.
• Self‑motivated and quick to learn, thriving in a dynamic, fast-moving environment.

Visa sponsorship is available for this position.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.