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Quantitative Researcher

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AI Summary

Design, validate, backtest, and implement statistical and machine learning models for trading strategies. Conduct large-scale data analysis and alpha signal research to enhance strategy performance. Collaborate with systematic traders and technologists in a fast-paced, intellectually driven environment.

Key Highlights
PhD graduates by Summer 2026 or postdocs in quantitative fields
Model development, robustness, and long-term reliability focus
Python programming with optional C++ experience required
Key Responsibilities
Blend strong research capabilities with deep understanding of trading to design statistical and advanced machine learning models
Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas
Backtest ideas using historical market data and large research clusters
Technical Skills Required
Python C++
Benefits & Perks
Visa sponsorship available
Nice to Have
Experience with C++ (or another low-level language)
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities

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.

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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