
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.
As a Quantitative Data Operations Co - Op (Placement) Student at Susquehanna, you will join our European Quantitative Engineering and Data (QED) group, working alongside senior engineers who will act as your mentors throughout the programme. Based in Dublin and collaborating with teams in London and across the globe, you will sit at the intersection of Engineering, Operations, and Research. You will have the opportunity to operate the scalable, high-performance data platforms that traders and researchers rely on every day, and to see how our data systems go from initial specification to full production.
Apply > Technical Assessment > Recruiter Interview > Technical Interview > Offer
Applicants must be legally eligible to work in Ireland.
Final tip - We hire for this programme on a rolling basis, therefore interested candidates are strongly encouraged to apply early.
Susquehanna is an equal opportunity employer, and we are committed to diversity and inclusion throughout our recruitment process. If you need assistance and/or a reasonable accommodation 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.com. 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 3,200 employees in 17+ global locations. While we have grown in size and expanded our reach, our collaborative culture and love for gaming remains.