Quantitative Researcher – Master's: 2027

SIG Susquehanna; New York (NY); On-site; USD 250,000 - 300,000; Full time

Job summary

SIG Susquehanna is looking for a Quantitative Researcher in New York. In this role, you will design, validate, backtest, and implement advanced machine learning models, focusing on large-scale data analysis to enhance trading strategies. You should have a Master's degree in a quantitative field, possess strong analytical and programming skills, and thrive in a collaborative environment.

The position offers a competitive salary range of $250,000-$300,000 and opportunities for professional growth through mentorship.

Qualifications

• Masters graduating by Summer 2026 in a quantitative field is required.
• Excellent logical reasoning and a passion for data-driven decisions are essential.
• Strong communication skills in a collaborative environment are necessary.

Responsibilities

• Develop and implement statistical and machine learning models.
• Backtest ideas using historical market data.
• Collaborate with teams to push trading strategies into production.

Skills

Analytical problem-solving

Programming in Python

Statistical analysis

Machine learning techniques

Education

Masters in quantitative fields (Mathematics, Physics, Statistics, etc.)

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. 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 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 $250,000-$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.