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Quantitative Researcher – Master's: 2027

Susquehanna International Group, LLP
Posted a month ago, valid for 22 days
Location

New York, NY 10008, US

Salary

$250,000 - $300,000 per year

Contract type

Full Time

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Sonic Summary

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  • Susquehanna is seeking a Quantitative Researcher to design, validate, backtest, and implement statistical and machine learning models, focusing on model development and long-term reliability.
  • Candidates should have a Master's degree in quantitative fields by Summer 2026 and possess strong analytical problem-solving skills along with programming experience in Python.
  • The role involves applying probability theory and statistical analysis to build robust models and evaluate strategies using historical market data.
  • The annual base salary for this position ranges from $250,000 to $300,000, depending on experience and qualifications.
  • Visa sponsorship is available, and opportunities exist in both Philadelphia and New York offices.

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 $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.

 

 

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

 

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