Quantitative Researcher – Master’s: 2027

Trading Interview; New York (NY); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Susquehanna is seeking a Quantitative Researcher who will design, validate, backtest, and implement statistical and advanced machine learning models for trading strategies. This role emphasizes model development, robustness, and long-term reliability in a collaborative, data-driven environment.

The position involves developing alphas, evaluating ideas with historical data, and working with traders and technologists to push strategies into production.

Qualifications

• Masters graduating by Summer 2026 in quantitative fields.
• Strong analytical problem-solving with logical reasoning.
• Clear communication in fast-paced, collaborative environments.
• Proficient in Python; knowledge of C++ or another low-level language is a plus.

Responsibilities

• Model development using probabilistic methods and ML to generate alphas.
• Backtest ideas on historical data and large compute clusters.
• Collaborate with traders and technologists to push strategies into production.
• Participate in mentorship and education programs.

Skills

Python programming

Mathematical/statistical skills

Communication

C++

Education

Masters in quantitative fields

Tools

Python

C++

Job description

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

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 clustersli>
• 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
• Programmerscomfortable 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

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 range 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.

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.

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This description was published by Susquehanna International Group (SIG). Applications are handled on their careers site: we are not the employer and cannot process them.

SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. As one of the largest proprietary trading firms in the…