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Susquehanna International Group

Quantitative Researcher - PhD: 2027

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What they do

A Financial Quantitative Analyst develops mathematical or statistical models used in the financial sector. Applies models and quantitative methods to analyze securities or other business data; provides analysis used to inform investment and trading strategies and manage risk.

$119,045 / year median in Pennsylvania

-12% projected decline

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Job Description

Sign in with Google Use your Google account to sign into efinancialcareers. Sign in with Google Sign in with Google. Opens in new tab Quantitative Researcher
  • PhD:
    2027 Susquehanna International Group Bala-Cynwyd, United States Apply now Save Posted 16 hours ago Permanent Competitive Quantitative Researcher
PhD:
2027 Susquehanna International Group Bala-Cynwyd, United States Apply now Save 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. #LI-CR1 #LI-Onsite Job
ID 11015
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PhD:
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