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Part-time
postgraduate degree
Signing Bonus, Housing, Breakfast, Lunch
Posted 42d ago
Apply by Jun 29
~40 hrs/week
Responsibilities
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.
Requirements
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.
Full job description
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 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.
What you can expect
Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
Execution. Create strategies to execute on modelling ideas under simulated competition
Evaluation. Backtest ideas using historical market data and revise strategies
Breadth. Explore all aspects of quant work and different areas of Susquehanna’s business
Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business
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.
What we’re looking for
Masters (in penultimate or final year) 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 Research Internship program. There is no need to apply to both positions to be considered for both.
Opportunities as a quantitative systematic trading intern will be available in our Philadelphia and New York offices.
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.
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 [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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.
Offices: 401 E. City Avenue, Bala Cynwyd, Pennsylvania 19004, US · 140 Broadway, 47th Floor, New York, NY 10005, US · Memorial Road, IFSC, County Dublin Dublin 1, IE · 100 Barangaroo Ave, Sydney, NSW 2000, AU · 1 Station Pl, Stamford, CT 06902, US
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