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Susquehanna is seeking a Quantitative Systematic Trader to blend research with live trading. You will build and refine data-driven, automated strategies and monitor performance in real-time market environments.
PhDs or postdocs in quantitative fields are preferred; Python proficiency is required, and C++ experience is a plus. This onsite role offers a fast-paced, collaborative setting with mentorship and growth.
Job Type Full-time
Posted 2 months ago
The role
As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.
What you can expectVisa sponsorship is available for this position.
By applying to this role, you will be automatically considered for the Quantitative Research 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.
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