New York, New York, United States · On-site
Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with …
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
New York, New York, United States · On-site
$250k–$300k/yr
Overview 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…
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
New York, New York, United States · Hybrid
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New York, New York, United States · On-site
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New York, New York, United States · Hybrid
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New York, New York, United States · Hybrid
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Skills: Python, React, TypeScript, Postgres, FastAPI
New York, New York, United States · On-site
Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with …
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
New York, New York, United States · On-site
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New York, New York, United States · On-site
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Holmdel Township, New Jersey, United States · Hybrid
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New York, New York, United States · Hybrid
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New York, New York, United States · Hybrid
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New York, New York, United States · Hybrid
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New York, New York, United States · Hybrid
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Job overview As a member of our Customer Success team, you'll onboard, guide, and support customers as they adopt Swarmia into their daily work. You'll work closely with a small group of experienced technical Customer Su…
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New York, New York, United States · On-site
$300k–$500k/yr
We're hiring a Research Intern to help us answer a question no one has answered yet: how do you train a model that is genuinely good at research? This is hard, and largely uncharted. Very few groups have managed to teach…
Skills: Machine Learning, Natural Language Processing, Deep Learning, Reinforcement Learning, Optimization
San Francisco, California, United States · On-site
$232k–$280k/yr
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Skills: Team Management, AI Agents, System Design, Software Engineering, Technical Architecture
New York, New York, United States · On-site
$152k–$215k/yr
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Neovest team, you are an integral part of a…
Skills: C#, .NET, Capital Markets, Trading Systems, Cloud-native
New York, New York, United States · On-site
About Alaffia & Our Mission Every year, U.S. health plans lose billions to improper payments and administrative waste. That wasted spending ultimately trickles down across the healthcare ecosystem, driving up costs for p…
Skills: TypeScript, Python, GraphQL, PostgreSQL, AWS
New York, New York, United States · On-site
Who we are… YOOBIC is an AI-powered frontline employee experience platform. Our mobile app gives business leaders and frontline teams the performance tools they need to communicate, learn, and work—all in one place. With…
Skills: Solutions Engineering, API Integration, AI Prototyping, Technical Consulting, Workflow Automation
New York, New York, United States • On-site
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Interns will apply probability theory and machine learning to predict market behavior and generate alphas for trading strategies. They will also backtest ideas using historical data and participate in a comprehensive quantitative finance education program.
Candidates must be in the penultimate or final year of a Master's degree in a quantitative field such as Mathematics, Physics, or Computer Science. Proficiency in Python is required, with experience in C++ or other low-level languages being a plus.
As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.
Master’s quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
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 [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning to uncover actionable insights and driving data-informed decisions from predictive modeling to strategic execution. Today, Susquehanna has over 3,500 employees in 16+ global locations. While we have grown in size and expanded our reach, our collaborative culture and love for gaming remains.
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