Quantitative Researcher - PhD: 2027

Susquehanna International Group; New York (NY); On-site; USD 255,000 - 345,000; Full time

Job summary

Susquehanna International Group is seeking a Quantitative Researcher to design, validate, backtest, and implement statistical and machine learning models for alpha signals and strategy enhancement. The role spans large-scale data analysis, model robustness, and long-term reliability.

Expect collaboration with systematic traders and technologists, with a strong focus on production-ready research. Philadelphia and New York offices host opportunities; base pay is $300,000 annually, with sponsorship

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.
• 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 dynamic, fast-moving environment.
• Visa sponsorship is available for this position.

Responsibilities

• Model development using statistical methods and machine learning to generate alphas.
• Propose improvements or optimizations to existing strategies and backtest ideas.
• Backtest ideas using historical market data and large research clusters.
• Participate in a comprehensive education program and receive mentorship.
• Collaborate with systematic traders and technologists to push strategies into production.

Skills

Python

C++

Data analysis

Communication

Learning agility

Education

PhD in a quantitative field

Tools

Python

C++

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.
• Execution: 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

• 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.
• 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 dynamic, fast-moving environment.
• Visa sponsorship is available for this position.

By applying to this role, you will be automatically considered for the Quantitative Systematic Trader position. There is no need to apply to both positions to be considered for both.

Opportunities as a Quantitative Researcher and as a Quantitative Systematic Trader will be available in our Philadelphia and New York offices.

The annual base pay for this role is $300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.

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.