Overview
At Susquehanna, quantitative systematic traders represent a true hybrid of our core disciplines: trading, technology, and quantitative research. Drawing on their technical proficiency, research experience, and understanding of trading, quantitative systematic traders' work involves identifying trading signals, developing strategies, and collaborating extensively with members of the trading, quantitative research, and technology teams.
Our quantitative systematic trading summer internship runs for 10 weeks. Managed by a team of dedicated senior traders and quantitative researchers, our education programme is widely recognised as being the best in the industry. Don't worry if you don'te from a finance background - we will teach you everything you need to succeed.
A core strength of our internship is that webine classroom-based education with hands-on project work and trading simulations. Interns are immersed in a real-world algorithmic trading problem, learning about our proprietary dataspaces, novel modelling approaches, and strategy implementation. Additionally, quantitative systematic trading interns develop a deep understanding of trading decision-making by participating in various types of trading simulations.
Join us this summer to see why so many interns decide to return for a full-time career in quantitative trading.
What we're looking for
Research-minded: You enjoy diving deep into a question and building mathematical models to reveal patterns in vast amounts of data.
Technically proficient: You have experience writing code to process and analyse large datasets.
Clearmunicator: You enjoy building relationships with those you work closely with and arefortable sharing ideas, expressing your thoughts, and listening to the views of others.
Ambitious: You're someone that enjoys setting personal goals and giving your all to achieve them. Be it in Arts, Sports, Academics, or another passion, you're not afraid to put in the effort to reach your full potential.
Class of 2026 or 2027: You're a PhD or research master's student in the penultimate year of study, majoring in a quantitative discipline. Depending on availability, successful interns will be invited to join the programme either immediately after thepletion of the internship, or in January or September 2027.
What's in it for you:
Education: You will attend classes covering a vast range of topics (Options Pricing, Machine Learning, Data Analysis Techniques, Game Theory, Trader Talks, In-house trading games... the list goes on) from some of the most experienced employees in Susquehanna.
Collaboration: You will get to work with a wide range of people in the classroom and through your project work; people who share a passion for mathematics, problem-solving, game theory, and technology.
Culture: Our non-hierarchical, casual, and collaborative culture allows employees of every level to thrive.
Perks: We offer a highlypetitivepensation package to our interns. Located in Ireland's Financial Services Centre, in the heart of Dublin's city centre, our office features free onsite catering, a games room, and a fully equipped in-house gym. Throughout the summer, interns enjoy weekly social events. For those joining us from outside Dublin, we also provide amodation for the duration of the internship.
Applicants must be legally eligible to work in Ireland
Our Summer Internship is 10 weeks, and runs from late June to late August.
** We hire for our QST internship on a rolling basis. There are limited places on our 2025 QST internship, therefore interested candidates are strongly encouraged to apply early.**
Susquehanna is an equal opportunity employer, and we aremitted to diversity and inclusion throughout our recruitment process. If you need assistance and/or a reasonable amodation due to a disability during the application or recruitment process, please contact us.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
Job ID 9552